A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library

"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."

Fully connected neural network with Adam optimizer, L2 regularization, Batch normalization, and Dropout using only numpy