This repository contains my research, studies and related implementations for my MSc thesis at Cairo University supervised by Prof. Aly Fahmy.
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Updated
Sep 8, 2018 - Python
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
This repository contains my research, studies and related implementations for my MSc thesis at Cairo University supervised by Prof. Aly Fahmy.
Deep Reinforcement Learning gym.
In this repository i put all the codes that i practiced for MNIST data.
Predict your chances in graduate colleges with Tensorflow
Repo containing all the codes and resources from the workshop
Research problem of performing sentiment analysis task by finding domain specific aspect weights (importance) in restaurant reviews.
Exploring Deep Learning with Tensorflow in Python
Tensorflow2 implementation of SqueezeNet.
Sentiment Analysis experiments
Pytorch implementation of https://arxiv.org/pdf/1903.12136.pdf (in progress)
This project comes from a Kaggle Competiton named Generative-Dog-Images. Deep Convolutional GAN (DCGAN) and Conditional GAN (cGAN) are applied to generate dog images. Created a model to randomly generate dog images which are not existed in the original dataset.
This repository contains the official implementation for SpiNet: A Deep Neural Network for Schatten p-norm Regularized Medical Image Reconstruction
A repository for fine-tuning StableDiffusion2.