A list of my project submissions for Udacity's self-driving car Nanodegree Term 1
Udacity: Self-Driving Car Engineer Nanodegree | Project: Traffic Sign Classification
Traffic Sign Classifier Project for Self-Driving Car ND
Udacity's Self Driving Car Nanodegree program Project 2: Traffic Sign Classifier
My solution to the Udacity Self-Driving Car Engineer Nanodegree Traffic Sign Classifier project.
Classify road signs using a deep convolutional neural network.
Self Driving Car NanoDegree - Project 2 - Traffic Sign Classifier
A traffic sign classifier built with TensorFlow
Traffic Sign Classifier using a convolutional neural network
🏎️ Traffic Sign Classifier Project using NN with TensorFlow for the Self-Driving Car Nanodegree at Udacity
This is a Classifier Algorithm that can classify German Traffic-Signs. It uses the good old convolution network inspired by the Nvidia Model used in their self-driving car.
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
Convolutional Neural Net to Classify Traffic Signs
Classifying traffic signs using Deep Learning and Convolutional Neural Networks
Traffic Sign Classifier Project for Self Driving Car Engineer Nanodegree.
Classify the Trafic Signs using deep learning model with Tensorflow
Build a model to classify traffic signs
Traffic Sign Classification with Convolutional Neural Networks in Python
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