An educational Python project developed during the Neural Network And Deep Learning course, this repository features the implementation of a neural network from scratch, without external libraries, ...

This repository contains a from-scratch neural network implementation in Python, focused on N-dimensional convolution and max-pooling layers together with backpropagation. The original project started ...

A neural network initially starts with random weights and biases. Because of this, its predictions are usually poor in the beginning. So the network needs a way to answer two important questions: One ...

After completing my first course in the deep learning spécialisation, here is what experienced in this course. The lectures giving by Andrew Ng give the foundation of deep learning and help to ...