charan89/Digit_recognition_numpy

Making Neural network model from scratch for prediction of digit classification. Its built from scratch using feedforward and backpropagation loops using numpy arrays.

Neural Network on MNIST with NumPy from Scratch

Implement and train a neural network from scratch in Python for the MNIST dataset (no PyTorch).

Project Description:

Implement and train a neural network from scratch in Python for the MNIST dataset (no PyTorch). The neural network should be trained on the Training Set using stochastic gradient descent. It should achieve 97-98% accuracy on the Test Set.