This project demonstrates how to implement a feedforward neural network from scratch using MATLAB. The goal is to provide a clear understanding of the underlying principles of neural networks, ...

This repository provides the implementation of a two layered neural network which uses sigmoid activations. Using the provided training and test sets, the neural network can be trained so as to mimic ...

You can also use MATLAB to design and tune controllers, such as PID, fuzzy, adaptive, and neural network controllers. MATLAB also has toolboxes and libraries that can help you interface with ...

This book teaches you the essentials of neural networks, guiding you through data fitting ... and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental ...

Abstract: High-level languages (Matlab, Python) are popular in neuroscience ... We describe a set of algorithms to simulate large spiking neural networks efficiently with high-level languages using ...