Tag: Self Driving Cars

Course content

• Introduction
• Installation
• Python Crash Course (Optional)
• NumPy Crash Course (Optional)
• Computer Vision: Finding Lane Lines
• The Perceptron
• Keras
• Deep Neural Networks
• Multiclass Classification
• MN 1ST Image Recognition
• Convolutional Neural Networks
• Classifying Road Symbols
• Polynomial Regression
• Behavioural Cloning

Duration

21 hours (usually 3 days including breaks)

Requirements

• Python programming experience.

Audience

• Developers

Overview

Deep learning is a subfield of machine learning. It uses methods based on learning data representations and structures such as neural networks.

Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano.

This instructor-led, live training (online or onsite) is aimed at developers who wish to build a self-driving car (autonomous vehicle) using deep learning techniques.

By the end of this training, participants will be able to:

• Use Keras to build and train a convolutional neural network.
• Use computer vision techniques to identify lanes in an autonomos driving project.
• Train a deep learning model to differentiate traffic signs.
• Simulate a fully autonomous car.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

Setting up the Development Environment

Creating a Project

Configuring the Simulator

Preparing the Data Sets

Overview of Python Deep Learning Libraries

Applying Computer Vision Techniques to Track Lanes

Training Perceptron-Based Neural Networks to Detect Other Vehicles

Implementing Convolutional Neural Networks to Predict Steering Angle and Speed

Training a Deep Learning Model to Classify Traffic Signs

Using Polynomial Regression to Improve Predictive Accuracy

Testing the Self Driving Car

Troubleshooting

Summary and Conclusion