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This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".
This repository implements handwritten digit recognition using a deep neural network trained on the MNIST dataset. It covers data preprocessing, model building, training, and evaluation for high accuracy classification. Additionally, it includes a system for predicting digits from new images. The project demonstrates effective use of deep learning.