Skip to content

isados/intro-to-pytorch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

Introduction to PyTorch

mnist.py

Classifies between handwritten digits from the famous MNIST dataset. Uses a single linear layer to predict, and uses cross-entropy to measure the loss.

This project is going to grow to include various new exciting models that span image classification problems. So stay tuned!

About

Deep Learning Scripts for Everyone

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published