This repo contains my very first projects in image processing, including school assignments homeworks and other personal projects.

Deploy CNNs model with four FLIR camera synchronously streaming target image

Gesture Recognition model developed using multiple Neural Network based algorithms which can identify 5 different gestures for operating smart TVs.

Various CNN's trained with the Kaggle Chest X-Ray dataset.

Naive Image Captioning

Thoracic Disease Detection Using CNNs and Weighted Binary Cross Entropy Loss Based on Chest X-Ray Images

Face generation using generative adversarial networks to generate new images

An implementation of Classification approaches using CNN models with Tensorflow on Bark-101 Dataset.

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

Classifying images using CNNs.

My efforts to make a live video feed translator for indian sign language

3rd/3 assignment of the "Machine Learning (ML) - Patterns Recognition" NKUA course (Spring Semester 2023). Classification of music sounds into a genre using MCCs (1) and mel-spectograms (2), with FNNs and CNNs models.

a convolutional neural network (CNN+ResNet) for image classification(convnet on CIFAR10)

This is a personal project implementing Convolutional Neural Networks (CNNs) and Variational Autoencoder (VAE) for sound generations

Classification of Fashion-MNIST dataset using both Dense ANNs and CNNs

identify which pet images are of dogs and which pet images aren't of dogs.

this is a project for alphabet recognition using two models : CNNs(Convolution Neural Networks) & MPL (Multi Perceptron layer )

Udacity's DeepLearning Nanodegree's Dog-Breed Project.

This project is part of the Udacity Nanodegree Program powered by Bertelsmann

PHRI1516 - Object Detection