lenet-architecture

ThinamXx/MachineLearning__Algorithms

I am working on implementing Machine Learning Algorithms from scratch.

hparik11/German-Traffic-Sign-Recognition

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

dee-tee/Captcha-Breaker

Contains python files to break simple captchas.

pavitrakumar78/DeepDreamsGIF

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

ragavvenkatesan/tf-lenet

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

zhao-zh10/CarND-Traffic-Sign-Classifier-Project

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

avinashhsinghh/CarND-Traffic-sign-classifier

Project: Build a Traffic Sign Recognition Program

dennishnf/basic-cnn-based-games

Some basic CNN-based games controlled by hand poses.

gnyanesh-bangaru/lenet-5-in-pytorch

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

prateeksawhney97/LeNet-5-Convolutional-Neural-Networks

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

Akash1070/Computer-Vision

Building & Deploying Computer Vision Models

Aryan05/TrafficSignClassifier_SelfDrivingCar

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

avinashmyerolkar/Deep-Learning-Concepts

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

hadil1999-creator/Research-nternship-InnovCom

Facial Recognition and Emotion detection project with focus on hyperparameter tuning

keyurparalkar/CIFAR-10

ConvNet implementation for CIFAR-10 dataset using pytorch

manankshastri/CarND-Traffic-Sign-Classifier

Traffic Sign Classifier using the German Traffic Sign Dataset

mozammalrahat/Deep-Learning-with-PyTorch

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

redayzarra/CNN_TrafficSigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

redayzarra/ml-skincancer-project

This project utilizes a convolutional network to identify 9 different kinds of skin cancers including melanoma, nevus, and more. The model is trained on over 2,200 pictures of various skin cancers based off of this dataset. This model implements fundamental computer vision and classification techniques and includes a step-by-step implementation.

thevarunsharma/Digit-Rec-CNN

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

elifbayirr/Build-LeNet-5-Architecture-with-MNIST-dataset

gouri1694/CNN_architecture

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

mehdihosseinimoghadam/Pytorch-Tutorial

Pytorch Tutorial & Deep Learning Different architecture

michaellaephillips/ImageDetectionForPlantDisease

Disease identification using keras and LeNet.

NajiAboo/TrafficSignClassification

TrafficSignalClassification Keras Lenet

rezarajan/sdc-traffic-sign-classifier

This project modifies the LeNet convnet architecture to classify traffic signs. It is done for Project 3 in the Udacity Self Driving Car Nanodegree.

srikanth2102/DIGIT---RECOGNITION

In this project we make use of convolutional neural network to recognise digits from 0 to 9. The neural network architecture used in this project is LENET-5.

SurrajKumar2000/RICusingDL

This model develops an accurate system for classifying retinal images to assist in early detection and management of eye conditions.

tairtahar/batchnorm

Batch normalization from scratch on LeNet using tensorflow.keras on mnist dataset. The goal is to learn and characterize batch normalization's impact on the NN performance.

anii21/Machine-learning

This repository is a compilation of machine learning algorithms implemented by me on differnet datasets and I'm currently working on it. The algorithms are categorized based on the types of data they are designed to handle and some of the codes are just a basic descriptions about the algorithms.

liliansteven/LeNet5-implementation

This is an implementation of the LeNet-5 architecture on the Cifar10 and MNIST datasets.

mosopedev/LeNet_traffic-sign-classification

This project utilizes the LeNet CNN architecture to classify traffic signs from a dataset of 32x32 pixel images

NajiAboo/Custom_Lenet

Lenet customisation with more filters, 3*3 filters, Relu activation fucntion

pkovarynng/CarND-Behavioral-Cloning-P3

My solution for the Udacity CarND Behavioral Cloning Project - built and trained a model that drives the car in the Udacity simulator

Rutatu/cds-visual_Assignment_5

This assignment is class assignment 5 for the visual analytics class at Aarhus University, 2021.