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

Behavior cloning of driving a car on a track

This project implements Behavioral Clonning from Udacity Self Driving course

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