The neural network is implemented from scratch in src/nn_core.py. The architecture is controlled by passing a list of layer sizes, which makes it easy to test shallow and deep models. Bias terms are ...

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 ...

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 ...

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 ...