A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining

BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems

Multi-Layer Perceptron Feedforward neural network. Backpropagation and Genetic learning algorithm. Plus WinForms UI.

Hi-tech Pipes Google stock prediction using Artificial Neural Networks

It consists of base machine learning algorithms and applied mathematics has Involved

Built a neural network from scratch to carry out a prediction problem on a real dataset.

Project 1

Activation function, feed forward network, Training a Neural Network, Error and Loss Function, Optimization, Backpropagation, Early stopping, Model Saving

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Bike prediction model for Deep Learning Nanodegree.

Backpropagation neural network in C++

NN predicting bike sharing usage - Used as practice project

My AI interpretability research journey

Collection of completed data-science projects and written resources

Backpropagation based Smart Medical Diagnosis system. Parallax web app with Django.

A Django-based Handwritten Digit Recognition System using a neural network trained on the MNIST dataset. Users can input digits to test real-time classification. Includes custom-built neural network implementation and efficient data preprocessing for accurate predictions.

Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..