Skip to content

Implementation of neural network training from scratch using only numpy and scipy

Notifications You must be signed in to change notification settings

srikrish2812/neural-network-scratch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Implementation of Neural Networks from scratch

  1. This repository contains detailed code to implement neural network training using only numpy and scipy.
  2. I followed Dr Simon Prince's Understanding Deep Learning book to code it.
  3. I have also included some equations as comments for better understanding of the code.
  4. There is test_nn.py file to test the functions that I wrote.
  5. Fork the repository and feel free to change it and improvise it.
  6. To run the code create a virtual environment, install the requirements.txt and run nn.py
    python -m venv env
    source env/bin/activate
    pip install -r requirements.txt
    python nn.py
    

About

Implementation of neural network training from scratch using only numpy and scipy

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages