This repository contains various methods to classify the MNIST dataset.
- Linear Regression
- Simple Neural Network
- Convolutional Neural Network
Each method increases in complexity introducing various features of tensorflow. It also integrates TensorBoard logging to visualize the algorithm.
Also contains a client to test out the implemented model done with Flask