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2019高效入门pytorch视频教程【字幕版】

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2019-12-19 10:26:04

http://1t.click/bxXY 南开大学王老师强烈推荐的《高效入门pytorch视频教程》（33集完整版）

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01PyTorch Prerequisites - Syllabus for Neural Network Programming Course-v5cngxo

05:55

02PyTorch Explained - Python Deep Learning Neural Network API-iTKbyFh-7GM

11:06

03PyTorch Install - Quick and Easy-UWlFM0R_x6I

08:02

04CUDA Explained - Why Deep Learning uses GPUs-6stDhEA0wFQ

13:33

05Tensors Explained - Data Structures of Deep Learning-Csa5R12jYRg

06:07

06Rank, Axes, and Shape Explained - Tensors for Deep Learning-AiyK0idr4uM

10:04

07CNN Tensor Shape Explained - Convolutional Neural Networks and Feature Maps-k6

09:05

08PyTorch Tensors Explained - Neural Network Programming-jexkKugTg04

10:17

09Creating PyTorch Tensors for Deep Learning - Best Options-AglLTlms7HU

11:03

10Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with PyTor

10:19

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

11:00

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

13:04

13Code for Deep Learning - ArgMax and Reduction Tensor Ops-K3lX3Cltt4c

13:41

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

16:04

15CNN Image Preparation Code Project - Learn to Extract, Transform, Load (ETL)-8

12:55

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

14:38

18CNN Layers - PyTorch Deep Neural Network Architecture-IKOHHItzukk

11:30

17Build PyTorch CNN - Object Oriented Neural Networks-k4jY9L8H89U

23:24

19CNN Weights - Learnable Parameters in PyTorch Neural Networks-stWU37L91Yc

23:51

20Callable Neural Networks - Linear Layers in Depth-rcc86nXKwkw

13:21

21CNN Forward Method - PyTorch Deep Learning Implementation-MasG7tZj-hw

10:41

22CNN Image Prediction with PyTorch - Forward Propagation Explained-6vweQjouLEE

11:59

24CNN Output Size Formula - Bonus Neural Network Debugging Session-cin4YcGBh3Q

14:44

23Neural Network Batch Processing - Pass Image Batch to PyTorch CNN-p1xZ2yWU1eo

10:24

25CNN Training with Code Example - Neural Network Programming Course-0VCOG8IeVf8

18:18

26CNN Training Loop Explained - Neural Network Code Project-XfYmia3q2Ow

22:04

27CNN Confusion Matrix with PyTorch - Neural Network Programming-0LhiS6yu2qQ

24:29

28Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops-kF2A

16:51

29TensorBoard with PyTorch - Visualize Deep Learning Metrics-pSexXMdruFM

19:53

30Hyperparameter Tuning and Experimenting - Training Deep Neural Networks-ycxulU

11:49

31Training Loop Run Builder - Neural Network Experimentation Code-NSKghk0pcco

08:53

32CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing-ozpv_peZ89

18:56

33PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase-kWVgvsejXs

06:38

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