Dog Breed Classifier
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Updated
Sep 4, 2017 - HTML
Dog Breed Classifier
Traffic Sign Recognition System
Image classification using Convolutional Neural Networks (dataset: CIFAR-10)
Classifying traffic signs using Deep Learning and Convolutional Neural Networks
Sign Language Detection Using CNN
Utilizing Deep Neural Network and Modified Multiscale Convolutional Neural Network to classify German Traffic Sign dataset available at http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
This is a project for the udacity nano degree on neural networks and this involves a dog breed classifier using CNN.
DCASE 2018 Challenge: Solution for task 5
This classifier achieved the following results, "Percent humans misclassified as dogs is 1%. and "Percent of dogs correctly classified is 100%" It is very reliable when it comes to classification of dog breeds.
CNN Method Implementation in Indonesian Sign Language based on Website
Classify four category of png images using Convolutional Neural Network.
Image Classification using CNN
Welcome to the repo of my Capstone project that I carried out as part of my Machine Learning Engineer Nanodegree at Udacity
CNN Project: Dog Breed Classifier
Shows the application of a CNN in classifying traffic signs and also how pre-trained models can be tuned for the faster development of more accurate models.
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