xinyuanhu / pytorch_notebooks

🔥A collection of PyTorch notebooks for learning and practicing deep learning

PyTorch Notebooks

A collection of PyTorch notebooks for studying and practicing deep learning. Each notebook contains a set of exercises that are specifically designed to engage and encourage the learner to conduct more research and experiments. (Work in progress!)

Name	Description	Category	Level	Link	Blog
Implementing a Logistic Regression Model from Scratch	Learn how to implement the fundamental building blocks of a neural network using PyTorch.	Machine Learning	Beginner		read
PyTorch Hello World	Create a hello world for deep learning using PyTorch.	Deep Learning	Beginner		read
PyTorch Quickstart	Learn about PyTorch's basic building blocks to build and train a CNN model for image classification.	Image Classification	Intermediate		read
A Gentle Introduction to PyTorch 1.2	This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.	Neural Networks	Beginner		read
Building RNNs is Fun with PyTorch	This notebook teaches you how to build a recurrent neural network (RNN) with a single layer, consisting of one single neuron. It also teaches how to implement a simple RNN-based model for image classification.	Neural Networks	Beginner		read
A Simple Neural Network from Scratch with PyTorch and Google Colab	In this tutorial we implement a simple neural network from scratch using PyTorch.	Neural Networks	Beginner		read