Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity

Neural Network written from Scratch without libraries like tensorflow (documented)

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

Development of a Neural Network from scratch to predict divorce in marriages.

A single-layer neural network written from scratch that predicts the language of the text.

A linear neural network from scratch using Numpy for training MNIST Dataset

Implementing neural network backpropagation from scratch with numpy

I have implemented a Multilayer Perceptron from scratch, including the backpropagation algorithm for learning.

Implementation of neural network from scratch (classification and regression)

A Python "package" for neural networks

My Implementation of well known DL architectures using PyTorch

An educational neural network visualization tool. Includes 2D input / output, heatmap, 3d output, and error graphing.

A class that implements an MLP neural network

An educational neural network library written using python, numpy, and minimal scipy functions

codes.