Topic: lenet-architecture Goto Github
Some thing interesting about lenet-architecture
Some thing interesting about lenet-architecture
lenet-architecture,Classifies traffic Signs using LeNet Architecture
User: abhileshborode
lenet-architecture,Implementing LeNet architecture using TensorFlow.
User: agoila
lenet-architecture,Traffic Sign Classification using TensorFlow
User: agoila
lenet-architecture,Building & Deploying Computer Vision Models
User: akash1070
lenet-architecture,
User: anborde
lenet-architecture,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.
User: anii21
lenet-architecture, I've developed a model using a Convolutional Neural Network (CNN) to classify traffic signs using LeNet architecture
User: aryan05
lenet-architecture,Project: Build a Traffic Sign Recognition Program
User: avinashhsinghh
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
User: avinashmyerolkar
lenet-architecture,Created a pipeline to classify traffic sign images based on the German Traffic Sign dataset. Performed the exploration & visualization of the data; Designed, trained and tested the model architecture and Used the model to predict softmax probabilities of the new images.
User: boxreb14
lenet-architecture,Contains python files to break simple captchas.
User: dee-tee
lenet-architecture,Some basic CNN-based games controlled by hand poses.
User: dennishnf
lenet-architecture,Deep learning network to visually recognize traffic signs, trained on the German Traffic Sign Benchmark (GTSB).
User: eren-aydemir
lenet-architecture,Traffic Sign Classification Project for Self-Driving Car ND
User: gdangelo
lenet-architecture,Implementation of LeNet-5 over MNIST Dataset using PyTorch from Scratch, presenting an accuracy of ~99%
User: gnyanesh-bangaru
lenet-architecture,Deep neural networks and convolutional neural networks to classify German traffic signs.
User: hparik11
lenet-architecture,ConvNet implementation for CIFAR-10 dataset using pytorch
User: keyurparalkar
lenet-architecture,Learning computer vision fundamentals with the MNIST data
User: keyurparalkar
Home Page: https://www.kaggle.com/c/digit-recognizer
lenet-architecture,This is an implementation of the LeNet-5 architecture on the Cifar10 and MNIST datasets.
User: liliansteven
lenet-architecture,Traffic Sign Classifier using the German Traffic Sign Dataset
User: manankshastri
lenet-architecture,Self Driving Car NanoDegree - Project 2 - Traffic Sign Classifier
User: mashraf94
lenet-architecture,Pytorch Tutorial & Deep Learning Different architecture
User: mehdihosseinimoghadam
lenet-architecture,Disease identification using keras and LeNet.
User: michaellaephillips
lenet-architecture,This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
User: mozammalrahat
lenet-architecture,Lenet customisation with more filters, 3*3 filters, Relu activation fucntion
User: najiaboo
lenet-architecture,TrafficSignalClassification Keras Lenet
User: najiaboo
lenet-architecture,A python script to convert GIF into a Google's DeepDream style GIFs.
User: pavitrakumar78
lenet-architecture,Implementing the LeNet-5 neural network architecture to classify MNIST Digits
User: prateeksawhney97
Home Page: http://yann.lecun.com/exdb/lenet/
lenet-architecture,Migrating from Theano to Tensorflow using Lenet as a case study.
User: ragavvenkatesan
Home Page: http://tf-lenet.readthedocs.io
lenet-architecture,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.
User: redayzarra
Home Page: https://www.redaysblog.com/projects/traffic-signs
lenet-architecture,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.
User: redayzarra
lenet-architecture,This project modifies the LeNet convnet architecture to classify traffic signs. It is done for Project 3 in the Udacity Self Driving Car Nanodegree.
User: rezarajan
lenet-architecture,This repository contains Basics of CNN Architectures
User: say123ali
lenet-architecture,Traffic sign classifier with a modified LeNet architecture
User: sbatururimi
lenet-architecture,Pytorch implementation of LeNet5 architecture for Image Classification.
User: shubhammawa
lenet-architecture,Traffic Sign Classification using MultiScale Lenet Architecture(Uses Tensorflow)
User: sourav90in
lenet-architecture,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.
User: srikanth2102
lenet-architecture,This model develops an accurate system for classifying retinal images to assist in early detection and management of eye conditions.
User: surrajkumar2000
lenet-architecture,LeNet-Convolutional Neural Network for CIFAR-10 Classification Dataset
User: sushantkumar-estech
lenet-architecture,Handwritten Multi-digit String Segmentation and Recognition using Deep Learning.
User: tahaemara
Home Page: http://emaraic.com/blog/multi-digit-segmentation-and-recognition
lenet-architecture,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.
User: tairtahar
lenet-architecture,A convolutional model for recognition of handwritten digits, plus, the driver program for the same.
User: thevarunsharma
lenet-architecture,I am working on implementing Machine Learning Algorithms from scratch.
User: thinamxx
lenet-architecture,This repository has the Traffic Sign Classifier Project that I completed in the term 1 of Udacity Self Driving Car Engineer Nano-degree Program
User: vigneshr97
lenet-architecture,Built and trained a convolutional neural network with over 95% accuracy to classify a data set of German traffic signs based on the LaNet-5 architecture.
User: wlsmith42
lenet-architecture,2nd project for self-driving car nanodegree
User: wubudubulubb
lenet-architecture,Udacity term1 project
User: yaoqii
lenet-architecture, Classification of German traffic signs using deep neural network. Lenet is used as model to train on data set provided by Udacity. The result comprises prediction on downloaded traffic sign images.
User: yogeshmahawar
lenet-architecture,My Submission For Udacity Self-Driving Car Engineer Nanodegree Program Traffic Sign Classifier Project
User: zhao-zh10
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