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 ...

To implement and understand the working of an Artificial Neural Network (ANN) using the Backpropagation Algorithm for solving classification problems. Artificial Neural Networks (ANNs) are machine ...