这篇教程PyTorch是什么？PyTorch几个文件格式的含义写得很实用，希望能帮到您。
PyTorch简介
要介绍PyTorch之前，不得不说一下Torch。Torch是一个有大量机器学习算法支持的科学计算框架，是一个与Numpy类似的张量（Tensor） 操作库，其特点是特别灵活，但因其采用了小众的编程语言是Lua，所以流行度不高，这也就有了PyTorch的出现。所以其实Torch是 PyTorch的前身，它们的底层语言相同，只是使用了不同的上层包装语言。
Deep Learning With PyTorch
This table gives us a list of PyTorch packages and their corresponding descriptions. These are the primary PyTorch components we'll be learning about and using as we build neural networks in this series.
| Package |
Description |
| torch |
The top-level PyTorch package and tensor library. |
| torch.nn |
A subpackage that contains modules and extensible classes for building neural networks. |
| torch.autograd |
A subpackage that supports all the differentiable Tensor operations in PyTorch. |
| torch.nn.functional |
A functional interface that contains typical operations used for building neural networks like loss functions, activation functions, and convolution operations. |
| torch.optim |
A subpackage that contains standard optimization operations like SGD and Adam. |
| torch.utils |
A subpackage that contains utility classes like data sets and data loaders that make data preprocessing easier. |
| torchvision |
A package that provides access to popular datasets, model architectures, and image transformations for computer vision. |
At the moment, the torchvision package is separate from the top-level torch package. However, this may change in the future if torchvision is pulled in as a subpackage of torch.
ubuntu16.04+anaconda安装pytorch-gpu,opencv
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