Master Deep Learning for Computer Vision in TensorFlow[2025]

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22.21 GB | 1h 4min 27s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Welcome.mp4 (21.29 MB)
2 General Introduction.mp4 (222.86 MB)
3 Course Content.mp4 (77.74 MB)
1 Data Logging.mp4 (287.15 MB)
2 Viewing Model Graphs.mp4 (21.5 MB)
3 Hyperparameter tuning.mp4 (194.95 MB)
4 Profiling and other visualizations with Tensorboard.mp4 (69.23 MB)
1 Experiment Tracking.mp4 (469.67 MB)
2 Hyperparameter Tuning with Weights and Biases and TensorFlow 2.mp4 (186.11 MB)
3 Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 (329.36 MB)
4 Data Versioning with Wandb.mp4 (329.5 MB)
5 Model Versioning with Weights and Biases and TensorFlow 2.mp4 (137.45 MB)
2 Data Preparation.mp4 (225.41 MB)
3 Modeling and Training.mp4 (371.79 MB)
4 Data augmentation.mp4 (142.09 MB)
5 Tensorflow Records.mp4 (293.65 MB)
1 Alexnet.mp4 (183.52 MB)
2 Vggnet.mp4 (116.45 MB)
3 Resnet.mp4 (351.48 MB)
4 Coding Resnet.mp4 (180.36 MB)
5 Mobilenet.mp4 (206.77 MB)
6 Efficientnet.mp4 (189.24 MB)
1 Leveraging Pretrained Models.mp4 (163.38 MB)
2 Finetuning.mp4 (112.17 MB)
1 Visualizing intermediate layers.mp4 (157.97 MB)
2 Grad-cam Method.mp4 (226.85 MB)
1 Ensembling.mp4 (45.22 MB)
2 Class Imbalance.mp4 (100.61 MB)
1 Understanding VITs.mp4 (421.93 MB)
2 Building VITs from scratch.mp4 (398.59 MB)
3 Finetuning Huggingface Transformers.mp4 (206.49 MB)
4 Model Evaluation with Wandb.mp4 (140.23 MB)
5 Data efficient transformers.mp4 (72.86 MB)
6 Swin Transformers.mp4 (192.31 MB)
1 Model Conversion from Tensorflow to Onnx.mp4 (205.38 MB)
2 Understanding quantization.mp4 (159.78 MB)
3 Practical quantization of Onnx model.mp4 (64.99 MB)
4 Quantization Aware training.mp4 (160.52 MB)
5 Conversion to Tensorflow lite model.mp4 (154.58 MB)
6 What is an API.mp4 (127.97 MB)
7 Building the Emotions Detection API with Fastapi.mp4 (674.71 MB)
8 Deploy the Emotions Detection API to the Cloud.mp4 (103.37 MB)
9 Load tesing the Emotions Detection API with Locust.mp4 (106.28 MB)
2 Understanding object detection.mp4 (52.42 MB)
3 YOLO Paper.mp4 (571.91 MB)
4 Dataset Preparation.mp4 (401 MB)
5 YOLO Resnet.mp4 (53.95 MB)
6 YOLO Loss.mp4 (691.12 MB)
7 Data augmentation.mp4 (219.2 MB)
8 Testing.mp4 (308.94 MB)
9 Data generators.mp4 (51.43 MB)
10 String Tensors.mp4 (29.49 MB)
11 Tensorflow Variables.mp4 (25.62 MB)
2 Tensor Basics.mp4 (33.14 MB)
3 Tensor Initialization and Casting.mp4 (306.74 MB)
4 Indexing.mp4 (157.44 MB)
5 Maths Operations in Tensorflow.mp4 (217.22 MB)
6 Linear Algebra Operations in Tensorflow.mp4 (381.47 MB)
7 Common Tensorflow Methods.mp4 (214.15 MB)
8 Ragged Tensors.mp4 (96.8 MB)
9 Sparse Tensors.mp4 (19.48 MB)
10 Model Evaluation with FiftyOne.mp4 (258.54 MB)
11 Virtual Cloth Try-on with Stable Diffusion Inpainting.mp4 (218.75 MB)
12 Building FiftyOne Data Augmentation Plugin with Stable Diffusion Inpainting.mp4 (556.54 MB)
2 Problem Understanding.mp4 (35.83 MB)
3 Data Downloading.mp4 (35.11 MB)
4 Data Splitting.mp4 (118.89 MB)
5 Data Processing.mp4 (178.72 MB)
6 Data Visualization with Matplotlib.mp4 (69.72 MB)
7 Data Visualization with FiftyOne.mp4 (184.92 MB)
8 Understanding Segformer.mp4 (190.77 MB)
9 Model Creation.mp4 (183.3 MB)
2 People Counting - Shangai Tech Dataset.mp4 (83.51 MB)
3 Dataset Preparation.mp4 (323.88 MB)
4 CSRNET.mp4 (75.34 MB)
5 Training and Optimization.mp4 (51.85 MB)
6 Data Augmentation.mp4 (260.93 MB)
2 Introduction to Image generation.mp4 (27.26 MB)
3 Understanding Variational autoencoders.mp4 (117.51 MB)
4 VAE training and digit generation.mp4 (299.23 MB)
5 Latent space visualizations.mp4 (112.88 MB)
6 How GANs work.mp4 (232.5 MB)
7 The GAN Loss.mp4 (163.18 MB)
8 Improving GAN training.mp4 (168.74 MB)
9 Face generation with GANs.mp4 (411.8 MB)
1 Python Installation.mp4 (18.15 MB)
10 Encapsulation.mp4 (11.58 MB)
11 Polymorphism.mp4 (13.41 MB)
12 Decorators.mp4 (90.77 MB)
13 Generators.mp4 (46.59 MB)
14 Numpy Package.mp4 (207.96 MB)
15 Matplotlib Introduction.mp4 (21.53 MB)
2 Conditional Statements.mp4 (89.57 MB)
3 Variables and Basic Operators.mp4 (134.99 MB)
4 Loops.mp4 (93.23 MB)
5 Methods.mp4 (88.44 MB)
6 Objects and Classes.mp4 (59.14 MB)
7 Operator Overloading.mp4 (52.9 MB)
8 Method Types.mp4 (48.35 MB)
9 Inheritance.mp4 (57.33 MB)
10 Corrective Measures.mp4 (80.25 MB)
11 TensorFlow Datasets.mp4 (79.43 MB)
3 Task Understanding.mp4 (23.56 MB)
4 Data Preparation.mp4 (224.68 MB)
5 Linear Regression Model.mp4 (101.06 MB)
6 Error Sanctioning.mp4 (107.8 MB)
7 Training and Optimization.mp4 (132.36 MB)
8 Performance Measurement.mp4 (27.3 MB)
9 Validation and Testing.mp4 (178.06 MB)
10 Model Evaluation and Testing.mp4 (29.58 MB)
11 Loading and Saving Tensorflow Models to Google Drive.mp4 (128.9 MB)
2 Task Understanding.mp4 (56.87 MB)
3 Data Preparation.mp4 (155.88 MB)
4 Data Visualization.mp4 (18.8 MB)
5 Data Processing.mp4 (39.52 MB)
6 How and Why Convolutional Neural Networks work.mp4 (348.61 MB)
7 Building Convnets in Tensorflow.mp4 (44.7 MB)
8 Binary Crossentropy Loss.mp4 (57.44 MB)
9 Convnet Training.mp4 (64.63 MB)
1 Functional API.mp4 (138.4 MB)
2 Model Subclassing.mp4 (119.54 MB)
3 Custom Layers.mp4 (135.7 MB)
1 Precision,Recall and Accuracy.mp4 (211.32 MB)
2 Confusion Matrix.mp4 (62.37 MB)
3 ROC Curve.mp4 (50.19 MB)
1 Tensorflow Callbacks.mp4 (217.44 MB)
2 Learning rate scheduling.mp4 (136.87 MB)
3 Model checkpointing.mp4 (61.83 MB)
4 Mitigating Overfitting and Underfitting with Dropout, Regularization.mp4 (202 MB)
1 Data augmentation with TensorFlow using tf image and Keras Layers.mp4 (475.19 MB)
2 Mixup Data augmentation with TensorFlow 2 with intergration in tf data.mp4 (161.77 MB)
3 Cutmix Data augmentation with TensorFlow 2 and intergration in tf data.mp4 (344.06 MB)
4 Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 (197.33 MB)
1 Custom Loss and Metrics.mp4 (176.01 MB)
2 Eager and Graph Modes.mp4 (88.69 MB)
3 Custom Training Loops.mp4 (234.98 MB)]
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