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18.35 GB | 15min 54s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :1 PyTorch for Deep Learning Bootcamp Zero to Mastery.mp4 | Size: (104.56 MB)
FileName :2 Course Welcome and What Is Deep Learning.mp4 | Size: (17.3 MB)
FileName :1 Why Use Machine Learning or Deep Learning.mp4 | Size: (8.07 MB)
FileName :2 The Number 1 Rule of Machine Learning and What Is Deep Learning Good For.mp4 | Size: (18.12 MB)
FileName :3 Machine Learning vs Deep Learning.mp4 | Size: (30.52 MB)
FileName :4 Anatomy of Neural Networks.mp4 | Size: (44.24 MB)
FileName :5 Different Types of Learning Paradigms.mp4 | Size: (17.9 MB)
FileName :6 What Can Deep Learning Be Used For.mp4 | Size: (22.63 MB)
FileName :7 What Is and Why PyTorch.mp4 | Size: (74.19 MB)
FileName :8 What Are Tensors.mp4 | Size: (13.8 MB)
FileName :9 What We Are Going To Cover With PyTorch.mp4 | Size: (29.62 MB)
FileName :10 How To and How Not To Approach This Course.mp4 | Size: (24.12 MB)
FileName :11 Important Resources For This Course.mp4 | Size: (36.57 MB)
FileName :12 Getting Setup to Write PyTorch Code.mp4 | Size: (43.32 MB)
FileName :13 Introduction to PyTorch Tensors.mp4 | Size: (57.56 MB)
FileName :14 Creating Random Tensors in PyTorch.mp4 | Size: (51.05 MB)
FileName :15 Creating Tensors With Zeros and Ones in PyTorch.mp4 | Size: (13.9 MB)
FileName :16 Creating a Tensor Range and Tensors Like Other Tensors.mp4 | Size: (17.41 MB)
FileName :17 Dealing With Tensor Data Types.mp4 | Size: (48.27 MB)
FileName :18 Getting Tensor Attributes.mp4 | Size: (40.34 MB)
FileName :19 Manipulating Tensors (Tensor Operations).mp4 | Size: (21.76 MB)
FileName :20 Matrix Multiplication (Part 1).mp4 | Size: (43.45 MB)
FileName :21 Matrix Multiplication (Part 2) The Two Main Rules of Matrix Multiplication.mp4 | Size: (31.32 MB)
FileName :22 Matrix Multiplication (Part 3) Dealing With Tensor Shape Errors.mp4 | Size: (57.12 MB)
FileName :23 Finding the Min Max Mean and Sum of Tensors (Tensor Aggregation).mp4 | Size: (29.34 MB)
FileName :24 Finding The Positional Min and Max of Tensors.mp4 | Size: (13.07 MB)
FileName :25 Reshaping, Viewing and Stacking Tensors.mp4 | Size: (60.5 MB)
FileName :26 Squeezing, Unsqueezing and Permuting Tensors.mp4 | Size: (50.08 MB)
FileName :27 Selecting Data From Tensors (Indexing).mp4 | Size: (30.8 MB)
FileName :28 PyTorch Tensors and NumPy.mp4 | Size: (34.24 MB)
FileName :29 PyTorch Reproducibility (Taking the Random Out of Random).mp4 | Size: (59.24 MB)
FileName :30 Different Ways of Accessing a GPU in PyTorch.mp4 | Size: (71.61 MB)
FileName :31 Setting up Device Agnostic Code and Putting Tensors On and Off the GPU.mp4 | Size: (41 MB)
FileName :32 PyTorch Fundamentals Exercises and Extra-Curriculum.mp4 | Size: (35.67 MB)
FileName :1 Introduction and Where You Can Get Help.mp4 | Size: (18.68 MB)
FileName :2 Getting Setup and What We Are Covering.mp4 | Size: (43.84 MB)
FileName :3 Creating a Simple Dataset Using the Linear Regression Formula.mp4 | Size: (38.07 MB)
FileName :4 Splitting Our Data Into Training and Test Sets.mp4 | Size: (36.92 MB)
FileName :5 Building a function to Visualize Our Data.mp4 | Size: (35.85 MB)
FileName :6 Creating Our First PyTorch Model for Linear Regression.mp4 | Size: (76.16 MB)
FileName :7 Breaking Down What's Happening in Our PyTorch Linear regression Model.mp4 | Size: (38.5 MB)
FileName :8 Discussing Some of the Most Important PyTorch Model Building Classes.mp4 | Size: (49.82 MB)
FileName :9 Checking Out the Internals of Our PyTorch Model.mp4 | Size: (68.44 MB)
FileName :10 Making Predictions With Our Random Model Using Inference Mode.mp4 | Size: (67.71 MB)
FileName :11 Training a Model Intuition (The Things We Need).mp4 | Size: (42.39 MB)
FileName :12 Setting Up an Optimizer and a Loss Function.mp4 | Size: (73.58 MB)
FileName :13 PyTorch Training Loop Steps and Intuition.mp4 | Size: (77.28 MB)
FileName :14 Writing Code for a PyTorch Training Loop.mp4 | Size: (51.91 MB)
FileName :15 Reviewing the Steps in a Training Loop Step by Step.mp4 | Size: (109.54 MB)
FileName :16 Running Our Training Loop Epoch by Epoch and Seeing What Happens.mp4 | Size: (63.42 MB)
FileName :17 Writing Testing Loop Code and Discussing What's Happening Step by Step.mp4 | Size: (89.7 MB)
FileName :18 Reviewing What Happens in a Testing Loop Step by Step.mp4 | Size: (106.87 MB)
FileName :19 Writing Code to Save a PyTorch Model.mp4 | Size: (82.77 MB)
FileName :20 Writing Code to Load a PyTorch Model.mp4 | Size: (48.53 MB)
FileName :21 Setting Up to Practice Everything We Have Done Using Device-Agnostic Code.mp4 | Size: (25.99 MB)
FileName :22 Putting Everything Together (Part 1) Data.mp4 | Size: (28.71 MB)
FileName :23 Putting Everything Together (Part 2) Building a Model.mp4 | Size: (53.41 MB)
FileName :24 Putting Everything Together (Part 3) Training a Model.mp4 | Size: (61.59 MB)
FileName :25 Putting Everything Together (Part 4) Making Predictions With a Trained Model.mp4 | Size: (32.25 MB)
FileName :26 Putting Everything Together (Part 5) Saving and Loading a Trained Model.mp4 | Size: (45.35 MB)
FileName :27 PyTorch Workflow Exercises and Extra-Curriculum.mp4 | Size: (32.28 MB)
FileName :1 Introduction to Machine Learning Classification With PyTorch.mp4 | Size: (53.97 MB)
FileName :2 Classification Problem Example Input and Output Shapes.mp4 | Size: (28.06 MB)
FileName :3 Typical Architecture of a Classification Neural Network (Overview).mp4 | Size: (42.41 MB)
FileName :4 Making a Toy Classification Dataset.mp4 | Size: (51.97 MB)
FileName :5 Turning Our Data into Tensors and Making a Training and Test Split.mp4 | Size: (47.39 MB)
FileName :6 Laying Out Steps for Modelling and Setting Up Device-Agnostic Code.mp4 | Size: (17.93 MB)
FileName :7 Coding a Small Neural Network to Handle Our Classification Data.mp4 | Size: (49.29 MB)
FileName :8 Making Our Neural Network Visual.mp4 | Size: (45.89 MB)
FileName :9 Recreating and Exploring the Insides of Our Model Using nn Sequential.mp4 | Size: (67.81 MB)
FileName :10 Setting Up a Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 | Size: (106.98 MB)
FileName :11 Going from Model Logits to Prediction Probabilities to Prediction Labels.mp4 | Size: (81.47 MB)
FileName :12 Coding a Training and Testing Optimization Loop for Our Classification Model.mp4 | Size: (76.44 MB)
FileName :13 Writing Code to Download a Helper Function to Visualize Our Models Predictions.mp4 | Size: (96.78 MB)
FileName :14 Discussing Options to Improve a Model.mp4 | Size: (47.29 MB)
FileName :15 Creating a New Model with More Layers and Hidden Units.mp4 | Size: (39.25 MB)
FileName :16 Writing Training and Testing Code to See if Our New and Upgraded Model Performs Better.mp4 | Size: (78.38 MB)
FileName :17 Creating a Straight Line Dataset to See if Our Model is Learning Anything.mp4 | Size: (37.02 MB)
FileName :18 Building and Training a Model to Fit on Straight Line Data.mp4 | Size: (40.67 MB)
FileName :19 Evaluating Our Models Predictions on Straight Line Data.mp4 | Size: (29.02 MB)
FileName :20 Introducing the Missing Piece for Our Classification Model Non-Linearity.mp4 | Size: (60.94 MB)
FileName :21 Building Our First Neural Network with Non-Linearity.mp4 | Size: (51.65 MB)
FileName :22 Writing Training and Testing Code for Our First Non-Linear Model.mp4 | Size: (89.51 MB)
FileName :23 Making Predictions with and Evaluating Our First Non-Linear Model.mp4 | Size: (29.68 MB)
FileName :24 Replicating Non-Linear Activation Functions with Pure PyTorch.mp4 | Size: (46.68 MB)
FileName :25 Putting It All Together (Part 1) Building a Multiclass Dataset.mp4 | Size: (57.54 MB)
FileName :26 Creating a Multi-Class Classification Model with PyTorch.mp4 | Size: (61.53 MB)
FileName :27 Setting Up a Loss Function and Optimizer for Our Multi-Class Model.mp4 | Size: (40.27 MB)
FileName :28 Going from Logits to Prediction Probabilities to Prediction Labels with a Multi-Class Model.mp4 | Size: (55 MB)
FileName :29 Training a Multi-Class Classification Model and Troubleshooting Code on the Fly.mp4 | Size: (96.04 MB)
FileName :30 Making Predictions with and Evaluating Our Multi-Class Classification Model.mp4 | Size: (47.17 MB)
FileName :31 Discussing a Few More Classification Metrics.mp4 | Size: (60.17 MB)
FileName :32 PyTorch Classification Exercises and Extra-Curriculum.mp4 | Size: (31.39 MB)
FileName :1 What Is a Computer Vision Problem and What We Are Going to Cover.mp4 | Size: (65.27 MB)
FileName :2 Computer Vision Input and Output Shapes.mp4 | Size: (46.87 MB)
FileName :3 What Is a Convolutional Neural Network (CNN).mp4 | Size: (34.86 MB)
FileName :4 Discussing and Importing the Base Computer Vision Libraries in PyTorch.mp4 | Size: (54.46 MB)
FileName :5 Getting a Computer Vision Dataset and Checking Out Its- Input and Output Shapes.mp4 | Size: (106.9 MB)
FileName :7 DataLoader Overview Understanding Mini-Batch.mp4 | Size: (32.73 MB)
FileName :8 Turning Our Datasets Into DataLoaders.mp4 | Size: (59.93 MB)
FileName :9 Model 0 Creating a Baseline Model with Two Linear Layers.mp4 | Size: (79.95 MB)
FileName :10 Creating a Loss Function an Optimizer for Model 0.mp4 | Size: (71.77 MB)
FileName :11 Creating a Function to Time Our Modelling Code.mp4 | Size: (29.32 MB)
FileName :12 Writing Training and Testing Loops for Our Batched Data.mp4 | Size: (90.18 MB)
FileName :13 Writing an Evaluation Function to Get Our Models Results.mp4 | Size: (62.5 MB)
FileName :14 Setup Device-Agnostic Code for Running Experiments on the GPU.mp4 | Size: (29.64 MB)
FileName :15 Model 1 Creating a Model with Non-Linear Functions.mp4 | Size: (55.06 MB)
FileName :16 Model 1 Creating a Loss Function and Optimizer.mp4 | Size: (21.18 MB)
FileName :17 Turing Our Training Loop into a Function.mp4 | Size: (39.71 MB)
FileName :18 Turing Our Testing Loop into a Function.mp4 | Size: (30.83 MB)
FileName :19 Training and Testing Model 1 with Our Training and Testing Functions.mp4 | Size: (66.17 MB)
FileName :20 Getting a Results Dictionary for Model 1.mp4 | Size: (25.07 MB)
FileName :21 Model 2 Convolutional Neural Networks High Level Overview.mp4 | Size: (52.26 MB)
FileName :22 Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 | Size: (124.69 MB)
FileName :23 Model 2 Breaking Down Conv2D Step by Step.mp4 | Size: (99.83 MB)
FileName :24 Model 2 Breaking Down MaxPool2D Step by Step.mp4 | Size: (85.17 MB)
FileName :25 Model 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 | Size: (111.58 MB)
FileName :26 Model 2 Setting Up a Loss Function and Optimizer.mp4 | Size: (18.17 MB)
FileName :27 Model 2 Training Our First CNN and Evaluating Its Results.mp4 | Size: (48.59 MB)
FileName :28 Comparing the Results of Our Modelling Experiments.mp4 | Size: (35.79 MB)
FileName :31 Making Predictions Across the Whole Test Dataset and Importing Libraries to Plot a Confusion Matrix.mp4 | Size: (101.93 MB)
FileName :32 Evaluating Our Best Models Predictions with a Confusion Matrix.mp4 | Size: (41.27 MB)
FileName :33 Saving and Loading Our Best Performing Model.mp4 | Size: (58.73 MB)
FileName :34 Recapping What We Have Covered Plus Exercises and Extra-Curriculum.mp4 | Size: (61.83 MB)
FileName :1 What Is a Custom Dataset and What We Are Going to Cover.mp4 | Size: (54.19 MB)
FileName :2 Importing PyTorch and Setting Up Device-Agnostic Code.mp4 | Size: (28.61 MB)
FileName :3 Downloading a Custom Dataset of Pizza, Steak and Sushi Images.mp4 | Size: (94.27 MB)
FileName :4 Becoming One With the Data (Part 1) Exploring the Data Format.mp4 | Size: (53.81 MB)
FileName :5 Becoming One With the Data (Part 2) Visualizing a Random Image.mp4 | Size: (69.42 MB)
FileName :6 Becoming One With the Data (Part 3) Visualizing a Random Image with Matplotlib.mp4 | Size: (25.46 MB)
FileName :7 Transforming Data (Part 1) Turning Images Into Tensors.mp4 | Size: (48.52 MB)
FileName :8 Transforming Data (Part 2) Visualizing Transformed Images.mp4 | Size: (79.41 MB)
FileName :9 Loading All of Our Images and Turning Them Into Tensors With ImageFolder.mp4 | Size: (57.7 MB)
FileName :10 Visualizing a Loaded Image From the Train Dataset.mp4 | Size: (51.55 MB)
FileName :11 Turning Our Image Datasets into PyTorch DataLoaders.mp4 | Size: (51.66 MB)
FileName :12 Creating a Custom Dataset Class in PyTorch High Level Overview.mp4 | Size: (46.79 MB)
FileName :13 Creating a Helper Function to Get Class Names From a Directory.mp4 | Size: (48.62 MB)
FileName :14 Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 | Size: (109.86 MB)
FileName :15 Compare Our Custom Dataset Class to the Original ImageFolder Class.mp4 | Size: (42.45 MB)
FileName :16 Writing a Helper Function to Visualize Random Images from Our Custom Dataset.mp4 | Size: (75.04 MB)
FileName :17 Turning Our Custom Datasets Into DataLoaders.mp4 | Size: (51.71 MB)
FileName :18 Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 | Size: (103.8 MB)
FileName :19 Building a Baseline Model (Part 1) Loading and Transforming Data.mp4 | Size: (45.95 MB)
FileName :20 Building a Baseline Model (Part 2) Replicating Tiny VGG from Scratch.mp4 | Size: (69.67 MB)
FileName :21 Building a Baseline Model (Part 3) Doing a Forward Pass to Test Our Model Shapes.mp4 | Size: (62.94 MB)
FileName :22 Using the Torchinfo Package to Get a Summary of Our Model.mp4 | Size: (38.63 MB)
FileName :23 Creating Training and Testing loop Functions.mp4 | Size: (64.13 MB)
FileName :24 Creating a Train Function to Train and Evaluate Our Models.mp4 | Size: (64.46 MB)
FileName :25 Training and Evaluating Model 0 With Our Training Functions.mp4 | Size: (56.33 MB)
FileName :26 Plotting the Loss Curves of Model 0.mp4 | Size: (53.68 MB)
FileName :27 Discussing the Balance Between Overfitting and Underfitting and How to Deal With Each.mp4 | Size: (72.12 MB)
FileName :28 Creating Augmented Training Datasets and DataLoaders for Model 1.mp4 | Size: (58.89 MB)
FileName :29 Constructing and Training Model 1.mp4 | Size: (38.88 MB)
FileName :30 Plotting the Loss Curves of Model 1.mp4 | Size: (19.94 MB)
FileName :31 Plotting the Loss Curves of All of Our Models Against Each Other.mp4 | Size: (50.07 MB)
FileName :32 Predicting on Custom Data (Part 1) Downloading an Image.mp4 | Size: (29.71 MB)
FileName :33 Predicting on Custom Data (Part2) Loading In a Custom Image With PyTorch.mp4 | Size: (40.06 MB)
FileName :34 Predicting on Custom Data (Part 3) Getting Our Custom Image Into the Right Format.mp4 | Size: (76.16 MB)
FileName :35 Predicting on Custom Data (Part 4) Turning Our Models Raw Outputs Into Prediction Labels.mp4 | Size: (23.12 MB)
FileName :36 Predicting on Custom Data (Part 5) Putting It All Together.mp4 | Size: (69.71 MB)
FileName :37 Summary of What We Have Covered Plus Exercises and Extra-Curriculum.mp4 | Size: (48.81 MB)
FileName :38 Exercise Imposter Syndrome.mp4 | Size: (18.66 MB)
FileName :1 What Is Going Modular and What We Are Going to Cover.mp4 | Size: (55.35 MB)
FileName :2 Going Modular Notebook (Part 1) Running It End to End.mp4 | Size: (76.19 MB)
FileName :3 Downloading a Dataset.mp4 | Size: (48.19 MB)
FileName :4 Writing the Outline for Our First Python Script to Setup the Data.mp4 | Size: (107.43 MB)
FileName :5 Creating a Python Script to Create Our PyTorch DataLoaders.mp4 | Size: (95.95 MB)
FileName :6 Turning Our Model Building Code into a Python Script.mp4 | Size: (80.98 MB)
FileName :7 Turning Our Model Training Code into a Python Script.mp4 | Size: (58.97 MB)
FileName :8 Turning Our Utility Function to Save a Model into a Python Script.mp4 | Size: (49.31 MB)
FileName :9 Creating a Training Script to Train Our Model in One Line of Code.mp4 | Size: (105.92 MB)
FileName :10 Going Modular Summary, Exercises and Extra-Curriculum.mp4 | Size: (58 MB)
FileName :1 Introduction What is Transfer Learning and Why Use It.mp4 | Size: (55.96 MB)
FileName :2 Where Can You Find Pretrained Models and What We Are Going to Cover.mp4 | Size: (34.13 MB)
FileName :3 Installing the Latest Versions of Torch and Torchvision.mp4 | Size: (52.53 MB)
FileName :4 Downloading Our Previously Written Code from Going Modular.mp4 | Size: (53.14 MB)
FileName :5 Downloading Pizza, Steak, Sushi Image Data from Github.mp4 | Size: (42.4 MB)
FileName :6 Turning Our Data into DataLoaders with Manually Created Transforms.mp4 | Size: (89.08 MB)
FileName :7 Turning Our Data into DataLoaders with Automatic Created Transforms.mp4 | Size: (90.84 MB)
FileName :8 Which Pretrained Model Should You Use.mp4 | Size: (88.46 MB)
FileName :9 Setting Up a Pretrained Model with Torchvision.mp4 | Size: (73.69 MB)
FileName :10 Different Kinds of Transfer Learning.mp4 | Size: (30 MB)
FileName :11 Getting a Summary of the Different Layers of Our Model.mp4 | Size: (50.6 MB)
FileName :12 Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 | Size: (115.74 MB)
FileName :13 Training Our First Transfer Learning Feature Extractor Model.mp4 | Size: (41.85 MB)
FileName :14 Plotting the Loss Curves of Our Transfer Learning Model.mp4 | Size: (35.79 MB)
FileName :15 Outlining the Steps to Make Predictions on the Test Images.mp4 | Size: (42.54 MB)
FileName :16 Creating a Function Predict On and Plot Images.mp4 | Size: (65.39 MB)
FileName :17 Making and Plotting Predictions on Test Images.mp4 | Size: (48.18 MB)
FileName :18 Making a Prediction on a Custom Image.mp4 | Size: (38.96 MB)
FileName :19 Main Takeaways, Exercises and Extra Curriculum.mp4 | Size: (32.81 MB)
FileName :1 What Is Experiment Tracking and Why Track Experiments.mp4 | Size: (36.4 MB)
FileName :2 Getting Setup by Importing Torch Libraries and Going Modular Code.mp4 | Size: (61.71 MB)
FileName :3 Creating a Function to Download Data.mp4 | Size: (54.74 MB)
FileName :4 Turning Our Data into DataLoaders Using Manual Transforms.mp4 | Size: (58.89 MB)
FileName :5 Turning Our Data into DataLoaders Using Automatic Transforms.mp4 | Size: (52.92 MB)
FileName :6 Preparing a Pretrained Model for Our Own Problem.mp4 | Size: (74.33 MB)
FileName :7 Setting Up a Way to Track a Single Model Experiment with TensorBoard.mp4 | Size: (99.26 MB)
FileName :8 Training a Single Model and Saving the Results to TensorBoard.mp4 | Size: (23.91 MB)
FileName :9 Exploring Our Single Models Results with TensorBoard.mp4 | Size: (71.24 MB)
FileName :10 Creating a Function to Create SummaryWriter Instances.mp4 | Size: (46.42 MB)
FileName :11 Adapting Our Train Function to Be Able to Track Multiple Experiments.mp4 | Size: (48.04 MB)
FileName :12 What Experiments Should You Try.mp4 | Size: (26.63 MB)
FileName :13 Discussing the Experiments We Are Going to Try.mp4 | Size: (28.31 MB)
FileName :14 Downloading Datasets for Our Modelling Experiments.mp4 | Size: (41.02 MB)
FileName :15 Turning Our Datasets into DataLoaders Ready for Experimentation.mp4 | Size: (45.89 MB)
FileName :16 Creating Functions to Prepare Our Feature Extractor Models.mp4 | Size: (107.27 MB)
FileName :17 Coding Out the Steps to Run a Series of Modelling Experiments.mp4 | Size: (79.68 MB)
FileName :18 Running Eight Different Modelling Experiments in 5 Minutes.mp4 | Size: (32.77 MB)
FileName :19 Viewing Our Modelling Experiments in TensorBoard.mp4 | Size: (85.36 MB)
FileName :20 Loading In the Best Model and Making Predictions on Random Images from the Test Set.mp4 | Size: (56.48 MB)
FileName :21 Making a Prediction on Our Own Custom Image with the Best Model.mp4 | Size: (21.72 MB)
FileName :22 Main Takeaways, Exercises and Extra Curriculum.mp4 | Size: (28.38 MB)
FileName :1 What Is a Machine Learning Research Paper.mp4 | Size: (77.87 MB)
FileName :2 Why Replicate a Machine Learning Research Paper.mp4 | Size: (12.71 MB)
FileName :3 Where Can You Find Machine Learning Research Papers and Code.mp4 | Size: (78.6 MB)
FileName :4 What We Are Going to Cover.mp4 | Size: (56.25 MB)
FileName :5 Getting Setup for Coding in Google Colab.mp4 | Size: (66.42 MB)
FileName :6 Downloading Data for Food Vision Mini.mp4 | Size: (30.16 MB)
FileName :7 Turning Our Food Vision Mini Images into PyTorch DataLoaders.mp4 | Size: (57.7 MB)
FileName :8 Visualizing a Single Image.mp4 | Size: (22.81 MB)
FileName :9 Replicating a Vision Transformer - High Level Overview.mp4 | Size: (48.24 MB)
FileName :10 Breaking Down Figure 1 of the ViT Paper.mp4 | Size: (48.35 MB)
FileName :11 Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4 | Size: (108.07 MB)
FileName :12 Breaking Down Equation 1.mp4 | Size: (74.55 MB)
FileName :13 Breaking Down Equations 2 and 3.mp4 | Size: (87.54 MB)
FileName :14 Breaking Down Equation 4.mp4 | Size: (66.78 MB)
FileName :15 Breaking Down Table 1.mp4 | Size: (84.79 MB)
FileName :16 Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 | Size: (103.31 MB)
FileName :17 Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4 | Size: (86.77 MB)
FileName :18 Turning a Single Image into Patches (Part 2 Patching the Entire Image).mp4 | Size: (81.38 MB)
FileName :19 Creating Patch Embeddings with a Convolutional Layer.mp4 | Size: (78.31 MB)
FileName :20 Exploring the Outputs of Our Convolutional Patch Embedding Layer.mp4 | Size: (83.74 MB)
FileName :21 Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.mp4 | Size: (57.03 MB)
FileName :22 Visualizing a Single Sequence Vector of Patch Embeddings.mp4 | Size: (33.36 MB)
FileName :23 Creating the Patch Embedding Layer with PyTorch.mp4 | Size: (104.49 MB)
FileName :24 Creating the Class Token Embedding.mp4 | Size: (81.58 MB)
FileName :25 Creating the Class Token Embedding - Less Birds.mp4 | Size: (77.43 MB)
FileName :26 Creating the Position Embedding.mp4 | Size: (66.17 MB)
FileName :27 Equation 1 Putting it All Together.mp4 | Size: (86.78 MB)
FileName :28 Equation 2 Multihead Attention Overview.mp4 | Size: (90.13 MB)
FileName :29 Equation 2 Layernorm Overview.mp4 | Size: (77.27 MB)
FileName :30 Turning Equation 2 into Code.mp4 | Size: (113.8 MB)
FileName :31 Checking the Inputs and Outputs of Equation.mp4 | Size: (33.66 MB)
FileName :32 Equation 3 Replication Overview.mp4 | Size: (54.49 MB)
FileName :33 Turning Equation 3 into Code.mp4 | Size: (70.08 MB)
FileName :34 Transformer Encoder Overview.mp4 | Size: (50.3 MB)
FileName :35 Combining Equation 2 and 3 to Create the Transformer Encoder.mp4 | Size: (52.16 MB)
FileName :36 Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 | Size: (131.12 MB)
FileName :37 Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces of the Puzzle.mp4 | Size: (128.43 MB)
FileName :38 Bringing Our Own Vision Transformer to Life - Part 2 Putting Together the Forward Method.mp4 | Size: (78.28 MB)
FileName :39 Getting a Visual Summary of Our Custom Vision Transformer.mp4 | Size: (64.9 MB)
FileName :40 Creating a Loss Function and Optimizer from the ViT Paper.mp4 | Size: (79.54 MB)
FileName :41 Training our Custom ViT on Food Vision Mini.mp4 | Size: (37.8 MB)
FileName :42 Discussing what Our Training Setup Is Missing.mp4 | Size: (65.69 MB)
FileName :43 Plotting a Loss Curve for Our ViT Model.mp4 | Size: (40.86 MB)
FileName :44 Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 | Size: (112.32 MB)
FileName :45 Preparing Data to Be Used with a Pretrained ViT.mp4 | Size: (36.29 MB)
FileName :46 Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.mp4 | Size: (51.87 MB)
FileName :47 Saving Our Pretrained ViT Model to File and Inspecting Its Size.mp4 | Size: (24.78 MB)
FileName :48 Discussing the Trade-Offs Between Using a Larger Model for Deployments.mp4 | Size: (26.42 MB)
FileName :49 Making Predictions on a Custom Image with Our Pretrained ViT.mp4 | Size: (22.94 MB)
FileName :50 PyTorch Paper Replicating Main Takeaways, Exercises and Extra-Curriculum.mp4 | Size: (64.32 MB)
FileName :1 What is Machine Learning Model Deployment and Why Deploy a Machine Learning Model.mp4 | Size: (43.97 MB)
FileName :2 Three Questions to Ask for Machine Learning Model Deployment.mp4 | Size: (26.01 MB)
FileName :3 Where Is My Model Going to Go.mp4 | Size: (83.78 MB)
FileName :4 How Is My Model Going to Function.mp4 | Size: (37.58 MB)
FileName :5 Some Tools and Places to Deploy Machine Learning Models.mp4 | Size: (38.57 MB)
FileName :6 What We Are Going to Cover.mp4 | Size: (18.63 MB)
FileName :7 Getting Setup to Code.mp4 | Size: (41.15 MB)
FileName :8 Downloading a Dataset for Food Vision Mini.mp4 | Size: (24.42 MB)
FileName :9 Outlining Our Food Vision Mini Deployment Goals and Modelling Experiments.mp4 | Size: (32.4 MB)
FileName :10 Creating an EffNetB2 Feature Extractor Model.mp4 | Size: (60.26 MB)
FileName :11 Create a Function to Make an EffNetB2 Feature Extractor Model and Transforms.mp4 | Size: (37.93 MB)
FileName :12 Creating DataLoaders for EffNetB2.mp4 | Size: (17.55 MB)
FileName :13 Training Our EffNetB2 Feature Extractor and Inspecting the Loss Curves.mp4 | Size: (65.17 MB)
FileName :14 Saving Our EffNetB2 Model to File.mp4 | Size: (14.7 MB)
FileName :15 Getting the Size of Our EffNetB2 Model in Megabytes.mp4 | Size: (33.66 MB)
FileName :16 Collecting Important Statistics and Performance Metrics for Our EffNetB2 Model.mp4 | Size: (41.38 MB)
FileName :17 Creating a Vision Transformer Feature Extractor Model.mp4 | Size: (51.03 MB)
FileName :18 Creating DataLoaders for Our ViT Feature Extractor Model.mp4 | Size: (10.46 MB)
FileName :19 Training Our ViT Feature Extractor Model and Inspecting Its Loss Curves.mp4 | Size: (39.28 MB)
FileName :20 Saving Our ViT Feature Extractor and Inspecting Its Size.mp4 | Size: (25.06 MB)
FileName :21 Collecting Stats About Our ViT Feature Extractor.mp4 | Size: (25.63 MB)
FileName :22 Outlining the Steps for Making and Timing Predictions for Our Models.mp4 | Size: (53.43 MB)
FileName :23 Creating a Function to Make and Time Predictions with Our Models.mp4 | Size: (122.59 MB)
FileName :24 Making and Timing Predictions with EffNetB2.mp4 | Size: (63.47 MB)
FileName :25 Making and Timing Predictions with ViT.mp4 | Size: (47.47 MB)
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FileName :27 Visualizing the Performance vs Speed Trade-off.mp4 | Size: (75.25 MB)
FileName :28 Gradio Overview and Installation.mp4 | Size: (55.02 MB)
FileName :29 Gradio Function Outline.mp4 | Size: (46.39 MB)
FileName :30 Creating a Predict Function to Map Our Food Vision Mini Inputs to Outputs.mp4 | Size: (53.26 MB)
FileName :31 Creating a List of Examples to Pass to Our Gradio Demo.mp4 | Size: (31.75 MB)
FileName :32 Bringing Food Vision Mini to Life in a Live Web Application.mp4 | Size: (78.15 MB)
FileName :33 Getting Ready to Deploy Our App Hugging Face Spaces Overview.mp4 | Size: (34.73 MB)
FileName :34 Outlining the File Structure of Our Deployed App.mp4 | Size: (52.78 MB)
FileName :35 Creating a Food Vision Mini Demo Directory to House Our App Files.mp4 | Size: (24.23 MB)
FileName :36 Creating an Examples Directory with Example Food Vision Mini Images.mp4 | Size: (59.2 MB)
FileName :37 Writing Code to Move Our Saved EffNetB2 Model File.mp4 | Size: (43.78 MB)
FileName :38 Turning Our EffNetB2 Model Creation Function Into a Python Script.mp4 | Size: (31.04 MB)
FileName :39 Turning Our Food Vision Mini Demo App Into a Python Script.mp4 | Size: (93.04 MB)
FileName :40 Creating a Requirements File for Our Food Vision Mini App.mp4 | Size: (23.94 MB)
FileName :41 Downloading Our Food Vision Mini App Files from Google Colab.mp4 | Size: (67.48 MB)
FileName :42 Uploading Our Food Vision Mini App to Hugging Face Spaces Programmatically.mp4 | Size: (89.37 MB)
FileName :43 Running Food Vision Mini on Hugging Face Spaces and Trying it Out.mp4 | Size: (53.56 MB)
FileName :44 Food Vision Big Project Outline.mp4 | Size: (21.67 MB)
FileName :45 Preparing an EffNetB2 Feature Extractor Model for Food Vision Big.mp4 | Size: (62.05 MB)
FileName :46 Downloading the Food 101 Dataset.mp4 | Size: (42.15 MB)
FileName :47 Creating a Function to Split Our Food 101 Dataset into Smaller Portions.mp4 | Size: (75.84 MB)
FileName :48 Turning Our Food 101 Datasets into DataLoaders.mp4 | Size: (37.31 MB)
FileName :49 Training Food Vision Big Our Biggest Model Yet!.mp4 | Size: (115.72 MB)
FileName :50 Outlining the File Structure for Our Food Vision Big.mp4 | Size: (30.9 MB)
FileName :51 Downloading an Example Image and Moving Our Food Vision Big Model File.mp4 | Size: (21.81 MB)
FileName :52 Saving Food 101 Class Names to a Text File and Reading them Back In.mp4 | Size: (42.88 MB)
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FileName :54 Creating an App Script for Our Food Vision Big Model Gradio Demo.mp4 | Size: (67.01 MB)
FileName :55 Zipping and Downloading Our Food Vision Big App Files.mp4 | Size: (25.88 MB)
FileName :56 Deploying Food Vision Big to Hugging Face Spaces.mp4 | Size: (95.72 MB)
FileName :57 PyTorch Mode Deployment Main Takeaways, Extra-Curriculum and Exercises.mp4 | Size: (63.42 MB)
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FileName :4 PyTorch 2 0 - 30 Second Intro.mp4 | Size: (12.13 MB)
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FileName :6 Getting Info from Our GPUs and Seeing if They're Capable of Using PyTorch 2 0.mp4 | Size: (48.17 MB)
FileName :7 Setting the Default Device in PyTorch 2 0.mp4 | Size: (71.13 MB)
FileName :8 Discussing the Experiments We Are Going to Run for PyTorch 2 0.mp4 | Size: (34.41 MB)
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FileName :10 Discussing How to Get Better Relative Speedups for Training Models.mp4 | Size: (39.78 MB)
FileName :11 Setting the Batch Size and Data Size Programmatically.mp4 | Size: (42.78 MB)
FileName :12 Getting More Speedups with TensorFloat-32.mp4 | Size: (55.83 MB)
FileName :13 Downloading the CIFAR10 Dataset.mp4 | Size: (39.33 MB)
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FileName :15 Preparing Training and Testing Loops with Timing Steps.mp4 | Size: (40.09 MB)
FileName :16 Experiment 1 - Single Run without Torch Compile.mp4 | Size: (50.66 MB)
FileName :17 Experiment 2 - Single Run with Torch Compile.mp4 | Size: (70.18 MB)
FileName :18 Comparing the Results of Experiments 1 and 2.mp4 | Size: (83.11 MB)
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FileName :21 Experiment 3 - Training a Non-Compiled Model for Multiple Runs.mp4 | Size: (90.41 MB)
FileName :22 Experiment 4 - Training a Compiled Model for Multiple Runs.mp4 | Size: (74.89 MB)
FileName :23 Comparing the Results of Experiments 3 and 4.mp4 | Size: (39.79 MB)
FileName :24 Potential Extensions and Resources to Learn More.mp4 | Size: (40.39 MB)
FileName :1 Thank You!.mp4 | Size: (9.57 MB)]
Screenshot
![[Image: jNQ4eLYX_o.jpg]](https://images2.imgbox.com/3a/2f/jNQ4eLYX_o.jpg)
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FileName :6 Laying Out Steps for Modelling and Setting Up Device-Agnostic Code.mp4 | Size: (17.93 MB)
FileName :7 Coding a Small Neural Network to Handle Our Classification Data.mp4 | Size: (49.29 MB)
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FileName :11 Going from Model Logits to Prediction Probabilities to Prediction Labels.mp4 | Size: (81.47 MB)
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FileName :13 Writing Code to Download a Helper Function to Visualize Our Models Predictions.mp4 | Size: (96.78 MB)
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FileName :16 Writing Training and Testing Code to See if Our New and Upgraded Model Performs Better.mp4 | Size: (78.38 MB)
FileName :17 Creating a Straight Line Dataset to See if Our Model is Learning Anything.mp4 | Size: (37.02 MB)
FileName :18 Building and Training a Model to Fit on Straight Line Data.mp4 | Size: (40.67 MB)
FileName :19 Evaluating Our Models Predictions on Straight Line Data.mp4 | Size: (29.02 MB)
FileName :20 Introducing the Missing Piece for Our Classification Model Non-Linearity.mp4 | Size: (60.94 MB)
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FileName :24 Replicating Non-Linear Activation Functions with Pure PyTorch.mp4 | Size: (46.68 MB)
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FileName :10 Creating a Loss Function an Optimizer for Model 0.mp4 | Size: (71.77 MB)
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FileName :24 Model 2 Breaking Down MaxPool2D Step by Step.mp4 | Size: (85.17 MB)
FileName :25 Model 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 | Size: (111.58 MB)
FileName :26 Model 2 Setting Up a Loss Function and Optimizer.mp4 | Size: (18.17 MB)
FileName :27 Model 2 Training Our First CNN and Evaluating Its Results.mp4 | Size: (48.59 MB)
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FileName :32 Evaluating Our Best Models Predictions with a Confusion Matrix.mp4 | Size: (41.27 MB)
FileName :33 Saving and Loading Our Best Performing Model.mp4 | Size: (58.73 MB)
FileName :34 Recapping What We Have Covered Plus Exercises and Extra-Curriculum.mp4 | Size: (61.83 MB)
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FileName :5 Becoming One With the Data (Part 2) Visualizing a Random Image.mp4 | Size: (69.42 MB)
FileName :6 Becoming One With the Data (Part 3) Visualizing a Random Image with Matplotlib.mp4 | Size: (25.46 MB)
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FileName :14 Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 | Size: (109.86 MB)
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FileName :16 Writing a Helper Function to Visualize Random Images from Our Custom Dataset.mp4 | Size: (75.04 MB)
FileName :17 Turning Our Custom Datasets Into DataLoaders.mp4 | Size: (51.71 MB)
FileName :18 Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 | Size: (103.8 MB)
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FileName :20 Building a Baseline Model (Part 2) Replicating Tiny VGG from Scratch.mp4 | Size: (69.67 MB)
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FileName :24 Creating a Train Function to Train and Evaluate Our Models.mp4 | Size: (64.46 MB)
FileName :25 Training and Evaluating Model 0 With Our Training Functions.mp4 | Size: (56.33 MB)
FileName :26 Plotting the Loss Curves of Model 0.mp4 | Size: (53.68 MB)
FileName :27 Discussing the Balance Between Overfitting and Underfitting and How to Deal With Each.mp4 | Size: (72.12 MB)
FileName :28 Creating Augmented Training Datasets and DataLoaders for Model 1.mp4 | Size: (58.89 MB)
FileName :29 Constructing and Training Model 1.mp4 | Size: (38.88 MB)
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FileName :31 Plotting the Loss Curves of All of Our Models Against Each Other.mp4 | Size: (50.07 MB)
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FileName :2 Going Modular Notebook (Part 1) Running It End to End.mp4 | Size: (76.19 MB)
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FileName :4 Downloading Our Previously Written Code from Going Modular.mp4 | Size: (53.14 MB)
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FileName :12 What Experiments Should You Try.mp4 | Size: (26.63 MB)
FileName :13 Discussing the Experiments We Are Going to Try.mp4 | Size: (28.31 MB)
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FileName :15 Turning Our Datasets into DataLoaders Ready for Experimentation.mp4 | Size: (45.89 MB)
FileName :16 Creating Functions to Prepare Our Feature Extractor Models.mp4 | Size: (107.27 MB)
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FileName :13 Breaking Down Equations 2 and 3.mp4 | Size: (87.54 MB)
FileName :14 Breaking Down Equation 4.mp4 | Size: (66.78 MB)
FileName :15 Breaking Down Table 1.mp4 | Size: (84.79 MB)
FileName :16 Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 | Size: (103.31 MB)
FileName :17 Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4 | Size: (86.77 MB)
FileName :18 Turning a Single Image into Patches (Part 2 Patching the Entire Image).mp4 | Size: (81.38 MB)
FileName :19 Creating Patch Embeddings with a Convolutional Layer.mp4 | Size: (78.31 MB)
FileName :20 Exploring the Outputs of Our Convolutional Patch Embedding Layer.mp4 | Size: (83.74 MB)
FileName :21 Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.mp4 | Size: (57.03 MB)
FileName :22 Visualizing a Single Sequence Vector of Patch Embeddings.mp4 | Size: (33.36 MB)
FileName :23 Creating the Patch Embedding Layer with PyTorch.mp4 | Size: (104.49 MB)
FileName :24 Creating the Class Token Embedding.mp4 | Size: (81.58 MB)
FileName :25 Creating the Class Token Embedding - Less Birds.mp4 | Size: (77.43 MB)
FileName :26 Creating the Position Embedding.mp4 | Size: (66.17 MB)
FileName :27 Equation 1 Putting it All Together.mp4 | Size: (86.78 MB)
FileName :28 Equation 2 Multihead Attention Overview.mp4 | Size: (90.13 MB)
FileName :29 Equation 2 Layernorm Overview.mp4 | Size: (77.27 MB)
FileName :30 Turning Equation 2 into Code.mp4 | Size: (113.8 MB)
FileName :31 Checking the Inputs and Outputs of Equation.mp4 | Size: (33.66 MB)
FileName :32 Equation 3 Replication Overview.mp4 | Size: (54.49 MB)
FileName :33 Turning Equation 3 into Code.mp4 | Size: (70.08 MB)
FileName :34 Transformer Encoder Overview.mp4 | Size: (50.3 MB)
FileName :35 Combining Equation 2 and 3 to Create the Transformer Encoder.mp4 | Size: (52.16 MB)
FileName :36 Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 | Size: (131.12 MB)
FileName :37 Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces of the Puzzle.mp4 | Size: (128.43 MB)
FileName :38 Bringing Our Own Vision Transformer to Life - Part 2 Putting Together the Forward Method.mp4 | Size: (78.28 MB)
FileName :39 Getting a Visual Summary of Our Custom Vision Transformer.mp4 | Size: (64.9 MB)
FileName :40 Creating a Loss Function and Optimizer from the ViT Paper.mp4 | Size: (79.54 MB)
FileName :41 Training our Custom ViT on Food Vision Mini.mp4 | Size: (37.8 MB)
FileName :42 Discussing what Our Training Setup Is Missing.mp4 | Size: (65.69 MB)
FileName :43 Plotting a Loss Curve for Our ViT Model.mp4 | Size: (40.86 MB)
FileName :44 Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 | Size: (112.32 MB)
FileName :45 Preparing Data to Be Used with a Pretrained ViT.mp4 | Size: (36.29 MB)
FileName :46 Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.mp4 | Size: (51.87 MB)
FileName :47 Saving Our Pretrained ViT Model to File and Inspecting Its Size.mp4 | Size: (24.78 MB)
FileName :48 Discussing the Trade-Offs Between Using a Larger Model for Deployments.mp4 | Size: (26.42 MB)
FileName :49 Making Predictions on a Custom Image with Our Pretrained ViT.mp4 | Size: (22.94 MB)
FileName :50 PyTorch Paper Replicating Main Takeaways, Exercises and Extra-Curriculum.mp4 | Size: (64.32 MB)
FileName :1 What is Machine Learning Model Deployment and Why Deploy a Machine Learning Model.mp4 | Size: (43.97 MB)
FileName :2 Three Questions to Ask for Machine Learning Model Deployment.mp4 | Size: (26.01 MB)
FileName :3 Where Is My Model Going to Go.mp4 | Size: (83.78 MB)
FileName :4 How Is My Model Going to Function.mp4 | Size: (37.58 MB)
FileName :5 Some Tools and Places to Deploy Machine Learning Models.mp4 | Size: (38.57 MB)
FileName :6 What We Are Going to Cover.mp4 | Size: (18.63 MB)
FileName :7 Getting Setup to Code.mp4 | Size: (41.15 MB)
FileName :8 Downloading a Dataset for Food Vision Mini.mp4 | Size: (24.42 MB)
FileName :9 Outlining Our Food Vision Mini Deployment Goals and Modelling Experiments.mp4 | Size: (32.4 MB)
FileName :10 Creating an EffNetB2 Feature Extractor Model.mp4 | Size: (60.26 MB)
FileName :11 Create a Function to Make an EffNetB2 Feature Extractor Model and Transforms.mp4 | Size: (37.93 MB)
FileName :12 Creating DataLoaders for EffNetB2.mp4 | Size: (17.55 MB)
FileName :13 Training Our EffNetB2 Feature Extractor and Inspecting the Loss Curves.mp4 | Size: (65.17 MB)
FileName :14 Saving Our EffNetB2 Model to File.mp4 | Size: (14.7 MB)
FileName :15 Getting the Size of Our EffNetB2 Model in Megabytes.mp4 | Size: (33.66 MB)
FileName :16 Collecting Important Statistics and Performance Metrics for Our EffNetB2 Model.mp4 | Size: (41.38 MB)
FileName :17 Creating a Vision Transformer Feature Extractor Model.mp4 | Size: (51.03 MB)
FileName :18 Creating DataLoaders for Our ViT Feature Extractor Model.mp4 | Size: (10.46 MB)
FileName :19 Training Our ViT Feature Extractor Model and Inspecting Its Loss Curves.mp4 | Size: (39.28 MB)
FileName :20 Saving Our ViT Feature Extractor and Inspecting Its Size.mp4 | Size: (25.06 MB)
FileName :21 Collecting Stats About Our ViT Feature Extractor.mp4 | Size: (25.63 MB)
FileName :22 Outlining the Steps for Making and Timing Predictions for Our Models.mp4 | Size: (53.43 MB)
FileName :23 Creating a Function to Make and Time Predictions with Our Models.mp4 | Size: (122.59 MB)
FileName :24 Making and Timing Predictions with EffNetB2.mp4 | Size: (63.47 MB)
FileName :25 Making and Timing Predictions with ViT.mp4 | Size: (47.47 MB)
FileName :26 Comparing EffNetB2 and ViT Model Statistics.mp4 | Size: (50.7 MB)
FileName :27 Visualizing the Performance vs Speed Trade-off.mp4 | Size: (75.25 MB)
FileName :28 Gradio Overview and Installation.mp4 | Size: (55.02 MB)
FileName :29 Gradio Function Outline.mp4 | Size: (46.39 MB)
FileName :30 Creating a Predict Function to Map Our Food Vision Mini Inputs to Outputs.mp4 | Size: (53.26 MB)
FileName :31 Creating a List of Examples to Pass to Our Gradio Demo.mp4 | Size: (31.75 MB)
FileName :32 Bringing Food Vision Mini to Life in a Live Web Application.mp4 | Size: (78.15 MB)
FileName :33 Getting Ready to Deploy Our App Hugging Face Spaces Overview.mp4 | Size: (34.73 MB)
FileName :34 Outlining the File Structure of Our Deployed App.mp4 | Size: (52.78 MB)
FileName :35 Creating a Food Vision Mini Demo Directory to House Our App Files.mp4 | Size: (24.23 MB)
FileName :36 Creating an Examples Directory with Example Food Vision Mini Images.mp4 | Size: (59.2 MB)
FileName :37 Writing Code to Move Our Saved EffNetB2 Model File.mp4 | Size: (43.78 MB)
FileName :38 Turning Our EffNetB2 Model Creation Function Into a Python Script.mp4 | Size: (31.04 MB)
FileName :39 Turning Our Food Vision Mini Demo App Into a Python Script.mp4 | Size: (93.04 MB)
FileName :40 Creating a Requirements File for Our Food Vision Mini App.mp4 | Size: (23.94 MB)
FileName :41 Downloading Our Food Vision Mini App Files from Google Colab.mp4 | Size: (67.48 MB)
FileName :42 Uploading Our Food Vision Mini App to Hugging Face Spaces Programmatically.mp4 | Size: (89.37 MB)
FileName :43 Running Food Vision Mini on Hugging Face Spaces and Trying it Out.mp4 | Size: (53.56 MB)
FileName :44 Food Vision Big Project Outline.mp4 | Size: (21.67 MB)
FileName :45 Preparing an EffNetB2 Feature Extractor Model for Food Vision Big.mp4 | Size: (62.05 MB)
FileName :46 Downloading the Food 101 Dataset.mp4 | Size: (42.15 MB)
FileName :47 Creating a Function to Split Our Food 101 Dataset into Smaller Portions.mp4 | Size: (75.84 MB)
FileName :48 Turning Our Food 101 Datasets into DataLoaders.mp4 | Size: (37.31 MB)
FileName :49 Training Food Vision Big Our Biggest Model Yet!.mp4 | Size: (115.72 MB)
FileName :50 Outlining the File Structure for Our Food Vision Big.mp4 | Size: (30.9 MB)
FileName :51 Downloading an Example Image and Moving Our Food Vision Big Model File.mp4 | Size: (21.81 MB)
FileName :52 Saving Food 101 Class Names to a Text File and Reading them Back In.mp4 | Size: (42.88 MB)
FileName :53 Turning Our EffNetB2 Feature Extractor Creation Function into a Python Script.mp4 | Size: (15.66 MB)
FileName :54 Creating an App Script for Our Food Vision Big Model Gradio Demo.mp4 | Size: (67.01 MB)
FileName :55 Zipping and Downloading Our Food Vision Big App Files.mp4 | Size: (25.88 MB)
FileName :56 Deploying Food Vision Big to Hugging Face Spaces.mp4 | Size: (95.72 MB)
FileName :57 PyTorch Mode Deployment Main Takeaways, Extra-Curriculum and Exercises.mp4 | Size: (63.42 MB)
FileName :1 Introduction to PyTorch 2 0.mp4 | Size: (60.73 MB)
FileName :2 What We Are Going to Cover and PyTorch 2 Reference Materials.mp4 | Size: (9.95 MB)
FileName :3 Getting Started with PyTorch 2 0 in Google Colab.mp4 | Size: (26.54 MB)
FileName :4 PyTorch 2 0 - 30 Second Intro.mp4 | Size: (12.13 MB)
FileName :5 Getting Setup for PyTorch 2 0.mp4 | Size: (17.07 MB)
FileName :6 Getting Info from Our GPUs and Seeing if They're Capable of Using PyTorch 2 0.mp4 | Size: (48.17 MB)
FileName :7 Setting the Default Device in PyTorch 2 0.mp4 | Size: (71.13 MB)
FileName :8 Discussing the Experiments We Are Going to Run for PyTorch 2 0.mp4 | Size: (34.41 MB)
FileName :9 Creating a Function to Setup Our Model and Transforms.mp4 | Size: (66.98 MB)
FileName :10 Discussing How to Get Better Relative Speedups for Training Models.mp4 | Size: (39.78 MB)
FileName :11 Setting the Batch Size and Data Size Programmatically.mp4 | Size: (42.78 MB)
FileName :12 Getting More Speedups with TensorFloat-32.mp4 | Size: (55.83 MB)
FileName :13 Downloading the CIFAR10 Dataset.mp4 | Size: (39.33 MB)
FileName :14 Creating Training and Test DataLoaders.mp4 | Size: (42.76 MB)
FileName :15 Preparing Training and Testing Loops with Timing Steps.mp4 | Size: (40.09 MB)
FileName :16 Experiment 1 - Single Run without Torch Compile.mp4 | Size: (50.66 MB)
FileName :17 Experiment 2 - Single Run with Torch Compile.mp4 | Size: (70.18 MB)
FileName :18 Comparing the Results of Experiments 1 and 2.mp4 | Size: (83.11 MB)
FileName :19 Saving the Results of Experiments 1 and 2.mp4 | Size: (39.1 MB)
FileName :20 Preparing Functions for Experiments 3 and 4.mp4 | Size: (78.88 MB)
FileName :21 Experiment 3 - Training a Non-Compiled Model for Multiple Runs.mp4 | Size: (90.41 MB)
FileName :22 Experiment 4 - Training a Compiled Model for Multiple Runs.mp4 | Size: (74.89 MB)
FileName :23 Comparing the Results of Experiments 3 and 4.mp4 | Size: (39.79 MB)
FileName :24 Potential Extensions and Resources to Learn More.mp4 | Size: (40.39 MB)
FileName :1 Thank You!.mp4 | Size: (9.57 MB)]
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