The Complete Self-Driving Car Course - Applied Deep Learning

Description

In this course, you will learn :

• Using machine learning techniques to create automotive-related algorithms.
• With Keras, you can learn about, build, and train Convolutional Neural Networks.
• Convolutional Neural Networks and Computer Vision are used to simulate a fully functional self-driving car.
• Create a Deep Learning Model that can distinguish between 43 different types of traffic signs.
• Learn how to identify lane lines on a road using basic computer vision techniques.
• Keras can be used to build and train powerful neural networks.
• Understand neural networks at their most basic perceptron-based level.

Syllabus :

• Python Crash Course
• NumPy Crash Course
• Computer Vision: Finding Lane Lines
• The Perceptron
• Keras
• Deep Neural Networks
• Multiclass Classification
• MNIST Image Recognition
• Convolutional Neural Networks
• Classifying Road Symbols
• Polynomial Regression
• Behavioural Cloning