Traffic sign classification for the German Traffic Sign Dataset
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Updated
Dec 31, 2016 - HTML
Traffic sign classification for the German Traffic Sign Dataset
Training a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset
traffic sign classification with a convolutional neural network implemented in tensorflow
Udacity Deep Learning Foundation Project2 Image Classification with CNN
tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy
Utility files for Granular challenge.
Udacity's Deep Learning Foundation Nanodegree - Project 2: Image Classification
Udacity's Machine Learning Nanodegree - Project 5: Image Classification
Predicting gene expression using epigenomics data and deep learning
A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection
Given an image of a dog, the algorithm will generate an estimate of the dog's breed. If supplied an image of a human, the code will identify the resembling dog breed
Classify Traffic Signs.
Dog Breed Classifier
Simple neural network for classifying german traffic signal images
Repo for projects from Udacity's Deep Learning Foundations
Deep Learning Project for Udacity Machine Learning Nanodegree
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