# PyTorch for former Torch users

> 译者：@unknown
> 
> 校对者：[@bringtree](https://github.com/bringtree)

**Author**: [Soumith Chintala](http://soumith.ch)

在本教程中, 你将学习到以下内容:

1.  使用 torch Tensors, 它和 (Lua)Torch 有很大的不同
2.  使用 autograd package
3.  构建神经网络

> *   构建一个 ConvNet
> *   构建一个 Recurrent Net

1.  使用多个 GPUs

![http://pytorch.apachecn.org/cn/tutorials/_images/tensor_illustration_flat.png](img/75d27b35d421d5786f8ea5cc5470b45a.jpg)

[Tensors](former_torchies/tensor_tutorial.html#sphx-glr-beginner-former-torchies-tensor-tutorial-py)

![http://pytorch.apachecn.org/cn/tutorials/_images/Variable1.png](img/616522c728d2b088b499e65d7761d6e4.jpg)

[Autograd (自动求导)](former_torchies/autograd_tutorial.html#sphx-glr-beginner-former-torchies-autograd-tutorial-py)

![http://pytorch.apachecn.org/cn/tutorials/_images/torch-nn-vs-pytorch-nn1.png](img/9eb6c05e6e84b7f26100f2f931bf98be.jpg)

[nn package](former_torchies/nn_tutorial.html#sphx-glr-beginner-former-torchies-nn-tutorial-py)

![http://pytorch.apachecn.org/cn/tutorials/_images/sphx_glr_parallelism_tutorial_thumb.png](img/965b7c2535b3f8e1fa3a6bd0c098dee6.jpg)

[Multi-GPU examples](former_torchies/parallelism_tutorial.html#sphx-glr-beginner-former-torchies-parallelism-tutorial-py)