Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Learn about two common types of neural networks: feedforward and recurrent. Discover how they differ in architecture, functionality, and applications.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Simple 2-Layer Neural Network from Scratch (NumPy) This is a basic example of implementing a 2-layer neural network using only NumPy. It demonstrates how to train the network by performing forward ...

Mammography may detect breast cancer early. CAD systems increase tissue visualisation by processing medical images like digitally chest x-rays and digital mammograms. Digital mammograms are ...

This research monograph was developed in lectures to intermediate- level engineering and statistics students. It admirably surveys the field of feedforward networks considering both theoretical and ...