/pytorch_notebooks

A collection of PyTorch notebooks for learning and practicing deep learning

Primary LanguageJupyter NotebookMIT LicenseMIT

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