Pure Numpy implementation of Fully Connected Neural Networks with gradient descent for weight optimisation

The project consists in the development of an application for the recognition of one-dimensional signals (audio), two-dimensional signals (images) and retrieval of the 10 images most similar to a given query.

A deep learning project focused on classifying road signs using the GTSRB dataset. This repository includes data augmentation, model optimization, and regularization techniques, featuring both CNN and ResNet-inspired architectures tested under diverse conditions.

Malaria Detection using CNN's

Repo for my blog

Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales

Implemented a CNN to classify images from CIFAR-10 dataset

An obstacle avoiding mobile robot

A data analysis product that predicts the estimated rent of a house inside Indian metropolis using Long Short Term Neural Network. A website that builds strong with Django web frameworks that predicts house rent according to desire of the user and displays it.

Portfolio of my Artificial Intelligence and Machine Learning Projects

Optimally train neural networks (ICLR 2024)

Face mask classification with convolutional neural networks via Tensorflow & Keras 😷

API proposal to accelerate ML on the web

Machine Learning and Neural Networks Lectures

This is a Neural Network-based Linear Regression Model that demonstrates convergence.: See How Neural Networks Learn.

Model to predict bank customer churn

FL-Interactive-Game: Interactive web game that teaches basic components of Federated Learning

Neural Networks to detect face mask on an image

Broken AI