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.

Contains ML files used to train the self-driving car, its implementation using raspberry pi, lane detection algorithm, and motor control codes.

This is a major project that was completed under the course Deep Learning(CSE674) at University at Buffalo.

Predict steering angle of a self driving car using behaviorial cloning

A self-driving car in a simulated environment. Explore various state-of-the-art methods of autonomous self-driving car in a fun visual format.

Self Driving Car Nvidia Model

This project implements Behavioral Clonning from Udacity Self Driving course

Behavior cloning of driving a car on a track

In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle.

This is the project Behavioral Cloning completed under the Udacity Self Driving Car Engineer Nano-degree Program

Training a robot to classify fruits using deep learning on the NVIDIA DIGITS interface.

Udacity Self Driving Car Engineer Project - End-to-End Driving with Deep Neural Network

Clone driving behavior using a deep convolutional neural network (CNN).

Steering Angle prediction

The main goal of the project it to clone the behavoir of a human driver and tests it in a rally game

Computer Vision Final Semester Project 🚗💻

Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras