A machine learning framework for implementing Convolutional Neural Network(CNN) and deep fully connected neural network implemented using numpy only. It has many features for accelerated and optimized learning process like batch normalization, dropout, L2 regularization and adam optimizer.I created it to learn more about nuts and bolts of Neural network and I hope it helps you know more about them as well.
-
Notifications
You must be signed in to change notification settings - Fork 1
A framework for implementing convolutional neural networks and fully connected neural network.
License
SwikarGautam/ConvoNet
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A framework for implementing convolutional neural networks and fully connected neural network.
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published