We all know Applied Statistics hold a close relationship with Machine Learning but often times we find ourselves writing code and pulling commands from ML libraries randomly without knowing why. I mean if it works, it works right? I say otherwise, I think its crucial that we truly understand these…

This is a mini project-based course on DCGAN implementation on MNIST dataset I completed in Coursera that I would like to walk you through in the simplest way possible. — Project Brief The project teaches how to build and train a Deep Convolutional Generative Adversarial Network (DCGAN) with Keras to generate images of fashionable clothes using MNIST dataset. It makes use of the Keras Sequential API with Tensorflow 2 as the backend. …