models directory. To train your own network, run automata.py first to train the differential cellular automata and autoencoder to generate good looking MNIST digits. Then using the generated model, ...

Welcome to the MNIST-DCGAN project! In this project, we use a Deep Convolutional Generative Adversarial Network (DCGAN) to generate handwritten digits based on the MNIST dataset. This project ...

Abstract: This paper presents a novel approach for handwritten digit recognition and image super-resolution using deep learning and ESRGAN (Enhanced Super-Resolution Generative Adversarial Network).