To build a complete neural network for Digit Recognition for MNIST dataset using Numpy.
The MNIST dataset is being used to train model to classify handwritten digits between 0-9.
The steps involved are:
- Data preparation
- Feedforward
- Loss computation
- Backpropagation
- Parameter updates
- Model training and predictions