Digit Recognizer with Vanilla Artificial Neural Network(My own implementation of ANN)

Train a model to recognize handwritten digits from the MNIST database using a vanilla artificial neural network and compare with TensorFlow

Description

This examples lets you train a handwritten digit recognizer using three different approaches:

Vanilla Artificial Neural Network
Fully Connected Neural Network (also known as a DenseNet) Using TensorFlow.js
Convolutional Neural Network(also known as a ConvNet or CNN) Using TensorFlow.js

The MNIST dataset is used as training data.

Training Progress