【2019 PyTorch教程 中英文字幕】Neural Network Programming - Deep Learning with PyTorch
生肉：https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG
熟肉自己压制的，欢迎大家一起学习和关注投币点赞，哈哈。
视频选集
（16/32）
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
顶部