MNIST digit recognizer system

This application performs sentiment analysis using a Deep CNN model built with TensorFlow. It provides a GUI where users can enter text and see whether the sentiment is positive or negative.

I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.

Implémentation d'algorithmes de Computer Vision

Jupyter notebook for creating a deep convolutional neural network (DCNN) image classifier model using Python and Tensorflow

Assistant's Qualification to Teach Deep Learning.

All kinds of neural text classifiers implemented by Keras

Algorithm For Self Driving Car

Bangla Handwritten Character Recognition System Using a Deep Convolutional Neural Network

This project contains one of my graduated school application with NLP and Virtual Agent

Robust Lane Detection in hazy/foggy environment using Encoder Decoder CNN & LSTM and Dark Channel Prior to tackle with hazy environemnt

Parking space detection with tflearn and python

Assignments Repository for External Internship Program 4 on Deep Convolutional Neural Networks

Training latent spaces in a DCNN Autoencoder network with the FMNIST dataset.

Code repository for the manuscript "Modeling naturalistic face processing in humans with deep convolutional neural networks" (https://doi.org/10.1101/2021.11.17.469009)

Feature Engineering for Sleep Spindle classification

A Chess AI.

Tackling facial emotion recognition (FER) tasks using DCNNs, VGG16 and Inception-V3 models

The project utilizes multiple YOLO versions to detect a military aircraft