Skip to content

Implementation of a 3 layer neural net in numpy, trained and tested on MNIST dataset

Notifications You must be signed in to change notification settings

ngailapdi/MNIST_numpy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Implementation of a 3-layer neural network with SGD (and SGD with momentum) as the optimizer. Trained and tested on MNIST dataset.

About

Implementation of a 3 layer neural net in numpy, trained and tested on MNIST dataset

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published