Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Are different forms of breathing derived from one or multiple neural networks? We demonstrate that brainstem slices containing the pre-Bötzinger complex generated two rhythms when normally oxygenated, ...
This chapter presents the deployment of a deep neural network (DNN) on an FPGA using MATLAB, Simulink, and Vivado. The chapter begins with preprocessing the diabetes dataset from Kaggle and training a ...
Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
This project demonstrates how to build an LSTM (Long Short-Term Memory) neural network in MATLAB to perform time series prediction. The network is trained on randomly generated sine and cosine wave ...