Train deep learning models known as Convolutional Neural Networks (CNNs) to classify 43 traffic sign images. This project could be practically applied to self-driving cars.

Classifying traffic signs using deep learning for self driving car

A deep learning project that uses a CNN to classify traffic signs, for the Udacity Self-Driving Car Engineer Nanodegree.

This is a project for Udacity Self-driving Car Nanodegree. The object is to build a deep learning network to classify traffic sign images. Data used come from German Traffic Sign Dataset

Traffic signs are crucial for road safety and guiding drivers. However, manual recognition can be error-prone, especially for autonomous vehicles. This project aims to automatically detect and classify traffic signs using deep learning, enabling self-driving cars to make accurate, real-time decisions and enhance road safety."

The Road Sign Recognition project is a machine learning solution designed to classify traffic signs from images. This project demonstrates the use of deep learning techniques, particularly Convolutional Neural Networks (CNNs), for image recognition tasks. It can be used in real-world applications like self-driving cars, driver assistance system