Evaluation of the CNN design choices performance on ImageNet-2012.

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using neural networks

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks

Simple multi layer perceptron application using feed forward back propagation algorithm

CUDA project, aims to implement an half precision NN

Repo for my blogs explaining swish activation function

• Trained the network for MNIST dataset • Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. • Analyzed network’s running time, error rate, efficiency and accuracy.

Implementation of key concepts of neuralnetwork via numpy

Deep Learning with Exponential Linear Units (ELUs) activation function

Developed Neural Network (NN) having one hidden layer, two hidden layers and four hidden layers, besides the input and output layers. Tested with Sigmoid, tanh and ReLu activation function. Used Scikit learn for pre-processing data.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

Classification of Cifar-10 dataset using VGG-like Convolutional Neural Network

This repository consist of code snippets I'm using to learn to use PyTorch for different deep learning applications

Road signs prediction CNN model

Identifying text in images in different fonts using deep neural network techniques.

introduce Resnet NEURAL network model using Pytorch on environment abc

GAAF implementation on Keras

Convolutional Neural Network with just Numpy and no other MLLibs