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【2019 PyTorch教程中英文字幕】Neural Network Programming - Deep Learning with PyTorch

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2019-09-08 15:09:36

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1.PyTorch Prerequisites - Syllabus for Neural Network Programming Course

05:55

2.PyTorch Explained - Python Deep Learning Neural Network API

11:06

3.PyTorch Install - Quick and Easy

08:02

4.CUDA Explained - Why Deep Learning uses GPUs

13:33

5.Tensors Explained - Data Structures of Deep Learning

06:07

6.Rank Axes and Shape Explained - Tensors for Deep Learning

10:04

7.CNN Tensor Shape Explained - Convolutional Neural Networks and Feature Maps

09:05

8.PyTorch Tensors Explained - Neural Network Programming

10:17

9.Creating PyTorch Tensors for Deep Learning - Best Options

11:03

10.Flatten Reshape and Squeeze Explained - Tensors for Deep Learning with PyTorc

10:19

11.CNN Flatten Operation Visualized - Tensor Batch Processing for Deep Learning

10:59

12.Tensors for Deep Learning - Broadcasting and Element-wise Operations with PyT

13:04

13.Code for Deep Learning - ArgMax and Reduction Tensor Ops

13:41

14.Data in Deep Learning (Important) - Fashion MNIST for Artificial Intelligence

16:04

15.CNN Image Preparation Code Project - Learn to Extract Transform Load (ETL)

12:55

16.PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning

14:38

17.Build PyTorch CNN - Object Oriented Neural Networks

23:24

18.CNN Layers - PyTorch Deep Neural Network Architecture

11:30

19.CNN Weights - Learnable Parameters in PyTorch Neural Networks

23:51

20.Callable Neural Networks - Linear Layers in Depth

13:21

21.CNN Forward Method - PyTorch Deep Learning Implementation

10:41

22.CNN Image Prediction with PyTorch - Forward Propagation Explained

11:59

23.Neural Network Batch Processing - Pass Image Batch to PyTorch CNN

10:24

24.CNN Output Size Formula - Bonus Neural Network Debugging Session

14:44

25.CNN Training with Code Example - Neural Network Programming Course

18:18

26.CNN Training Loop Explained - Neural Network Code Project

22:04

27.CNN Confusion Matrix with PyTorch - Neural Network Programming

24:29

28.Stack vs Concat in PyTorch TensorFlow NumPy - Deep Learning Tensor Ops

16:51

29.TensorBoard with PyTorch - Visualize Deep Learning Metrics

19:53

30.Hyperparameter Tuning and Experimenting - Training Deep Neural Networks

11:49

31.Training Loop Run Builder - Neural Network Experimentation Code

08:53

32.CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing

18:56

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