Handwritten Multi-digit String Segmentation and Recognition using Deep Learning.

Deep neural networks and convolutional neural networks to classify German traffic signs.

I am working on implementing Machine Learning Algorithms from scratch.

A python script to convert GIF into a Google's DeepDream style GIFs.

My Submission For Udacity Self-Driving Car Engineer Nanodegree Program Traffic Sign Classifier Project

Contains python files to break simple captchas.

Migrating from Theano to Tensorflow using Lenet as a case study.

Implementation of LeNet-5 over MNIST Dataset using PyTorch from Scratch, presenting an accuracy of ~99%

Implementing the LeNet-5 neural network architecture to classify MNIST Digits

Building & Deploying Computer Vision Models

This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.

ConvNet implementation for CIFAR-10 dataset using pytorch

Traffic Sign Classifier using the German Traffic Sign Dataset

A convolutional model for recognition of handwritten digits, plus, the driver program for the same.

Some basic CNN-based games controlled by hand poses.

Different CNN architecture like LeNet, AlexNet,VGGNet,Inception,Resnet is included in this repo

Project: Build a Traffic Sign Recognition Program

Facial Recognition and Emotion detection project with focus on hyperparameter tuning

I've developed a model using a Convolutional Neural Network (CNN) to classify traffic signs using LeNet architecture

The Deep Learning Concepts Repository is a concise and accessible collection of essential concepts in deep learning. It provides clear explanations and examples for neural networks, CNNs, RNNs, activation functions, loss functions, backpropagation, gradient descent, and overfitting/underfitting. An invaluable resource for beginners and practitioner