Deep Learning with TensorFlow, Keras, and PyTorch

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00001 Deep Learning with TensorFlow Keras and PyTorch - Introduction.mp4

02:22

00002 Topics.mp4

00:52

00003 1.1 Neural Networks Machine Learning and Artificial Intelligence--Part 1.mp4

12:51

00004 1.2 Neural Networks Machine Learning and Artificial Intelligence--Part 2.mp4

13:28

00005 1.3 A Visual Introduction to Deep Learning--Part 1.mp4

11:14

00006 1.4 A Visual Introduction to Deep Learning--Part 2.mp4

16:39

00007 1.5 TensorFlow Playground--Visualizing a Deep Net in Action.mp4

07:27

00008 1.6 Running the Hands-On Code Examples in Jupyter Notebooks.mp4

14:07

00009 1.7 An Introductory Neural Network with TensorFlow and Keras--Part 1.mp4

14:16

00010 1.8 An Introductory Neural Network with TensorFlow and Keras--Part 2.mp4

17:36

00011 Topics.mp4

00:35

00012 2.1 Neural Units--Part 1.mp4

13:32

00013 2.2 Neural Units--Part 2.mp4

16:24

00014 2.3 Neural Networks--Part 1.mp4

15:47

00015 2.4 Neural Networks--Part 2.mp4

27:34

00016 2.5 Training Deep Neural Networks--Part 1.mp4

18:04

00017 2.6 Training Deep Neural Networks--Part 2.mp4

12:00

00018 2.7 Training Deep Neural Networks--Part 3.mp4

19:58

00019 2.8 An Intermediate Neural Net with TensorFlow and Keras.mp4

13:39

00020 Topics.mp4

00:55

00021 3.1 Weight Initialization.mp4

19:34

00022 3.2 Unstable Gradients and Batch Normalization.mp4

07:04

00023 3.3 Model Generalization--Avoiding Overfitting.mp4

14:39

00024 3.4 Fancy Optimizers.mp4

06:11

00025 3.5 A Deep Neural Net with TensorFlow and Keras.mp4

06:16

00026 3.6 Regression Models.mp4

12:19

00027 3.7 TensorBoard and the Interpretation of Model Outputs.mp4

09:44

00028 Topics.mp4

00:41

00029 4.1 Convolutional Layers.mp4

25:14

00030 4.2 A ConvNet with TensorFlow and Keras.mp4

16:49

00031 4.3 Machine Vision Applications.mp4

05:36

00032 Topics.mp4

00:43

00033 5.1 Comparison of the Leading Deep Learning Libraries.mp4

12:53

00034 5.2 Deep Learning with PyTorch--Part 1.mp4

16:02

00035 5.3 Deep Learning with PyTorch--Part 2.mp4

14:00

00036 5.4 Hyperparameter Tuning.mp4

08:55

00037 5.5 Datasets for Deep Learning and Resources for Self-Study.mp4

11:50

00038 Deep Learning with TensorFlow Keras and PyTorch - Summary.mp4

01:01

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