《高效入门pytorch视频教程》（完整版）
http://1t.click/bxXY
https://zhuanlan.zhihu.com/p/96237032
百度网盘下载太慢了，不过上传b站，确实观看方便了很多，所以小伙伴能点个赞，点个关注，分享分享吗？非常感谢
以后会分享更多外网的优质学习资料！！！
视频选集
（20/39）
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
17Build PyTorch CNN - Object Oriented Neural Networks-k4jY9L8H89U
23:24
18CNN Layers - PyTorch Deep Neural Network Architecture-IKOHHItzukk
11:30
19CNN Weights - Learnable Parameters in PyTorch Neural Networks-stWU37L91Yc
23:51
20Callable Neural Networks - Linear Layers in Depth-rcc86nXKwkw
13:21
21How to Debug PyTorch Source Code - Deep Learning in Python-el39D7rz7K0
13:00
21CNN Forward Method - PyTorch Deep Learning Implementation-MasG7tZj-hw
10:41
22CNN Image Prediction with PyTorch - Forward Propagation Explained-6vweQjouLEE
11:59
23Neural Network Batch Processing - Pass Image Batch to PyTorch CNN-p1xZ2yWU1eo
10:24
24CNN Output Size Formula - Bonus Neural Network Debugging Session-cin4YcGBh3Q
14:44
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
35PyTorch on the GPU - Training Neural Networks with CUDA-Bs1mdHZiAS8
16:40
36PyTorch Dataset Normalization - torchvision.transforms.Normalize()-lu7TCu7HeYc
26:12
37PyTorch DataLoader Source Code - Debugging Session-bMvYJQrZJbM
22:19
38PyTorch Sequential Models - Neural Networks Made Easy-bH9Nkg7G8S0
26:40
39Batch Norm in PyTorch - Add Normalization to Conv Net Layers-bCQ2cNhUWQ8
20:19
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