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