/python-nn

Primary LanguagePython

Readme

NN example implementation

The layout is a 2 hidden layer fully connected NN + an output layer of size 10

This repo contains the pre-trained parameters stored in params/

to run the model: Extract the training set (train.csv.zip) into train.csv

then execute:

python main.py

It has currently around 85% success rate ( the original had around 84%, big gains)

Inspired by (almost all code): Simple MNIST NN from scratch (numpy, no TF/Keras) | Kaggle

Text Generation | Papers With Code