Neural network aproach of our project. This project creates Deep Neural Network with 4 hidden layers 1 input set and outpu layer. hidden layers has 1500 nodes each to train and test against MNIST handwritten Digit datasets. Also uses Convulution Neural Networks to compare 2 hidden layer with 4 against MNIST dataset.
This project uses the Tensorflow Library in Python and uses Deep Neural Networks and Convolution Neural Networks
- Tensorflow 1.0
- Python 2.7
To install Tensorflow
pip install tensorflow
To run the code
python deep-net.py
python convneuralnetwork.py
- Tensorflow - The Deep Learning Library