Implemented neural networks to classify handwritten digits from the MNIST dataset using Python (version 3.10).
Neural Network Library: Developed a custom neural network library (NeuralNetwork_Lib.py) to facilitate the training and evaluation of neural network models.
MNIST Model: Developed a neural network for digit classification using the MNIST dataset (fit_MNIST.py). The training process may take a few minutes due to the complexity of the dataset. Generated and saved graphs and model weights for further analysis.