Deep_Learning

This repo contains my projects related to Deep Learning, which are made with open source libraries in python like OpenCV, Tensorflow, Pytorch, and more.

Most used Packages in this repo:

• Tensorflow
• OpenCV
• Pytorch
• PIL (Pillow)
• Scikit Learn

Examples:

• Sentiment Analysis
• CNNs Classifiers
• CNNs different Architectures
• CNNs combined with RNNs
• Deep Convolutional GANs
• Autoencoders
• Transfer Learning Examples

License:

Every project will has its own license depending on the resources of each, and the facility which the project is directed to.

Sources to Learn Computer Vision:

• Intro to Computer Vision - Udacity
• Computer Vision Nanodegree - Udacity
• Computer Vision Playlist - Stanford University School of Engineering
• MIT 6.S191: Introduction to Deep Learning Playlist - Alexander Amini
• Computer Vision in Arabic Playlist - Ahmed Ebrahim
• Practical Applications Computer Vision with Python Playlist - Rocket Systems
• Practical Applications Computer Vision with Python - FreeCodeCamp

Projects:

Sentiment Analysis:

• Tweets Sentiment Analysis using Simple NN

CNNs Classifiers:

• Pet Image Classifier - PyTorch Pre-Trained Model
• Custom Dog Breed Classifier using PyTorch
• Fake & Real Faces Classifier
• Character Classifier
• Face Mask Detection with Tensorflow
• Social Distancing Violation Detector
• Object Detection using MobileNet

Autoencoders:

• MNIST
• Image Compression with PCA AutoEncoders
• Image Compression with Sparse AutoEncoders
• Image Compression with Convolutional Neural Networks AutoEncoders
• Image DeNoising Convolutional AutoEncoders
• Image Retrieval using Convolutional AutoEncoders and Nearest Neighbors
• Image Morphing using Convolutional AutoEncoders
• Image Generation using Variational AutoEncoders

CNNs combined with RNNs:

• Image Captioning

Deep Convolutional GANs:

• Face Generation