Hong-Bo / hands-on-pytorch

A tutorial on training neural networks using PyTorch

Hands On Pytorch

This tutorial is composed of several examples about deep learning. It is expected that these examples will endow a beginner with the basics of both deep learning and PyTorch.

Contents

Several independent projects are included in this tutorial. According to the order of from simple to complex, these projects are

1. Training a very simple neural network to classify MNIST data (./nn)

2. Implementation of LeNet-5, training with MNIST data (./lenet)

3. Directory ./cnn trains a two-layered convolutional network using MNIST data

4. Directory ./resnet trains a multi-layered ResNet using CIFAR-10 data