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PyTorch Tutorial
Introduction
Tutorials
Ghapter01 Getting Started
1.1 PyTorch Tntroduction
1.3 PyTorch 60 Minute Blitz
1.3.1 Tensor
1.3.2 Autograd
1.3.3 Neural Networks
1.3.4 Classifier
1.3.5 Data Parallelism
Ghapter02 Basics
2.1 Basic
2.1.1 Tensor
2.1.2 AutoGrad
2.1.3 Nerual Network
2.1.4 Data Loader
2.2 Deep Learning Mathematics Basic
2.3 Deep Learning Neural Network Introduction
2.4 Convolutional Neural Network
2.5 Recurrent Neural Network
Ghapter03 Intermediate
3.1 Logistic Regression
3.2 CNN
3.2.1 ConvNet Mnist
3.2.2 ResNet_Cifar10
3.3 RNN
Ghapter04 Advanced
4.1 Fine Tuning
4.2 Visualization
4.2.1 Visdom
4.2.2 TensorBoardX
4.2.3 CNN Visualizing
4.3 Parallel
4.4 FastAI
Ghapter05 Application
5.1 Kaggle
5.2 结构化数据
5.3 Computer Vision
Detection
Segmentation
Recognition
GAN
Others
5.4 自然语言处理
5.5 协同过滤
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pytorch-tutorial
Chapter05 Application
Content
5.1 Kaggle
5.2 结构化数据
5.3 Computer Vision
5.4 自然语言处理
5.5 协同过滤
Chapter05 Application
Content
5.1 Kaggle
Kaggle
5.2 结构化数据
5.3 Computer Vision
Detection
Segmentation
Recognition
GAN
Others
5.4 自然语言处理
5.5 协同过滤
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