6 GB | 11min 21s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Introduction to Hands on Deeplearning.mp4 (8.76 MB)
10 - Universal Approximations Theorem.mp4 (71.87 MB)
11 - Deep Neural Network.mp4 (251.01 MB)
12 - Deep Neural Network Continue.mp4 (46.74 MB)
13 - Getting Started.mp4 (2.04 MB)
14 - Where to write Code.mp4 (29.66 MB)
15 - Jupiter Notebook.mp4 (59.86 MB)
16 - Google Colab.mp4 (109.45 MB)
17 - Pytorch.mp4 (25.77 MB)
18 - Tensors.mp4 (29.58 MB)
19 - Tensors Continue.mp4 (53.08 MB)
2 - What is Machine Learning.mp4 (23.61 MB)
20 - Gradients.mp4 (47.16 MB)
21 - MNIST Example.mp4 (146.49 MB)
22 - Check Sample.mp4 (47.29 MB)
23 - Hidden Layer.mp4 (88.21 MB)
24 - Interface on a Digit.mp4 (78.98 MB)
25 - TransferLearningOverview.mp4 (9.87 MB)
26 - What is Transfer Learning.mp4 (14.35 MB)
27 - CS231n Convolutional Neural Networks.mp4 (139.07 MB)
28 - Download Dataset.mp4 (37.4 MB)
29 - Transform the Data.mp4 (106.73 MB)
3 - Popular ML Methods.mp4 (33.87 MB)
30 - Visualize the Data.mp4 (98.04 MB)
31 - Define the Model.mp4 (137.58 MB)
32 - Add a Few Final Layers.mp4 (113.17 MB)
33 - Train the Model.mp4 (23.75 MB)
34 - Test the Model.mp4 (26.28 MB)
35 - What About CIFAR.mp4 (45.61 MB)
36 - Image Classifier on Cifar 10 Dataset.mp4 (26.91 MB)
37 - Download and Load Our Dataset.mp4 (84.42 MB)
38 - Train and Test Dataset.mp4 (138.76 MB)
39 - Define Our Neural Network.mp4 (64.45 MB)
4 - What is Deep Learning.mp4 (8.79 MB)
40 - Working on Image.mp4 (267.51 MB)
41 - Input and Output.mp4 (118.06 MB)
42 - Define Our Loss Function.mp4 (68.46 MB)
43 - Train Data in Enumerate.mp4 (82.02 MB)
44 - Train Data in Enumerate Continue.mp4 (47.34 MB)
45 - Test the Neural Network on the Test Image.mp4 (58.8 MB)
46 - Intro to Text Classifier.mp4 (17.48 MB)
47 - Text Classification Using CNN.mp4 (69.25 MB)
48 - Prepare the Data.mp4 (32.88 MB)
49 - Build the Model.mp4 (52.02 MB)
5 - Applications of Deeplearning.mp4 (21.52 MB)
50 - Build the Model Coninue.mp4 (82.42 MB)
51 - More on Build the Model.mp4 (60.59 MB)
52 - Define a Loss Function.mp4 (55.66 MB)
53 - Define a Loss Function Continue.mp4 (47.93 MB)
54 - More on Define a Loss Function.mp4 (58.5 MB)
55 - Evaluate or Test the Model.mp4 (62.05 MB)
56 - Intro to Text Generation.mp4 (59.98 MB)
57 - Text GenerationTransformers.mp4 (205.09 MB)
58 - Text GenerationTransformers Continue.mp4 (171.69 MB)
59 - TransformersArchitectures.mp4 (121.52 MB)
6 - Recommendations.mp4 (105.2 MB)
60 - TransformersArchitectures Cintinue.mp4 (162.37 MB)
61 - WordGeneration.mp4 (172.46 MB)
62 - WordGeneration Continue.mp4 (103.23 MB)
63 - TextGeneration.mp4 (64.41 MB)
64 - Intro to Text Translation.mp4 (12.88 MB)
65 - LoadingData.mp4 (92.74 MB)
66 - PreparingData.mp4 (43.93 MB)
67 - EncoderAttention Part 1.mp4 (116.41 MB)
68 - EncoderAttention Part 2.mp4 (47.23 MB)
69 - EncoderAttention Part 3.mp4 (41.55 MB)
7 - Basic Concept of Deeplearning.mp4 (1.1 MB)
70 - Decoder.mp4 (118.15 MB)
71 - TrainEvalFunctions.mp4 (96.45 MB)
72 - TrainEvalFunctions Continue.mp4 (50.44 MB)
73 - TrainingFixes.mp4 (57.06 MB)
74 - TrainingEvaluation.mp4 (119.14 MB)
75 - PredictionTabularData Part 1.mp4 (85.37 MB)
76 - PredictionTabularData Part 2.mp4 (91.31 MB)
77 - PredictionTabularData Part 3.mp4 (133.28 MB)
78 - PredictionTabularData Part 4.mp4 (98.39 MB)
79 - Collaborative Filtering.mp4 (104.72 MB)
8 - Perception.mp4 (67.23 MB)
80 - Collaborative Filtering Continue.mp4 (109.13 MB)
81 - Other Recommendation Approaches.mp4 (17.38 MB)
9 - Neural Network.mp4 (89.7 MB)]
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