Udacity – Introduction to Self-Driving Cars nd113 v1.0.0 2018-12 – Download

Description

Intro to Self-Driving Cars is an introductory self-driving car training course published by Udacity Specialized Academy. This 4-month course is one of the largest and most comprehensive self-driving car courses available on the Internet, taught by a group of experienced experts. This training contains a series of scattered but very practical topics such as Python and C++ programming languages, matrices and applied calculations, computer vision and machine learning. East. All these topics are used to solve problems and challenges in the field of self-driving cars, and by bringing together everyone’s potentials, we will be able to develop 100% autonomous and intelligent cars.

This training is not recommended for beginning students and the student should have some basic knowledge in the areas of introductory algebra and reading and editing Python and C++ codes.

What you’ll learn in Introduction to Self-Driving Cars

Bayesian inference
Principles and Basics of Self-Driving Car Design
Ways to understand and observe the environment thanks to self-driving cars
Object-oriented programming and its importance in the development of autonomous cars
Linear algebra and matrices
The basics of Python and C++ programming languages
Complex data structures
Writing algorithms and algorithmic thinking
Advanced and functional accounts
Use different Python-based libraries and frameworks for visualizing data and mathematical problems
machine learning
computer vision
And…

Course Specifications

Editor: audacity
Instructors: Sebastian Thrun, Andy Brown, Cezanne Camacho, Andrew Pastor, Anthony Navarro, Elecia White and Tarin Ziyaee
French language
Intermediate level
Number of lessons: 41
Duration: approx. 4 months

course topics

Part 01: Orientation

Module 01: Welcome to the introduction to self-driving cars!

Module 02: Preparation

Part 02: Bayesian thinking

Module 01: Bayesian thinking

Part 03: Working with matrices

Module 01: Working with matrices

Part 04: C++ Basics

Module 01: C++ Basics

Part 05: Performance programming in C++

Module 01: Performance programming in C++

Part 06: Navigating Data Structures

Module 01: Navigating Data Structures

Part 07: Vehicle Movement and Control

Module 01: Vehicle Movement and Control

Part 08: Computer Vision and Machine Learning

Module 01: Computer Vision and Machine Learning

Part 09: Graduation!

Module 01: Congratulations!

Module 02: Guaranteed admission to your next Nanodiploma

Introduction to the prerequisites of self-driving cars

Students should have some programming experience (writing short scripts in a programming language) and be comfortable with algebra. You should also feel comfortable reading and modifying the code provided to you, knowing that resolving code issues can still be difficult. If you think you need more preparation, here are some additional resources you can use:

Free courses

Paid programs

Introduction to the Nanodegree Programming Program
Data Analyst Nano Degree Program

What software and versions do I need in this program?

For this Nanodegree program, you will need to have the minimum equipment requirements described here: https://www.udacity.com/tech-requirements.

What versions of TensorFlow, Keras, ROS and C++ are taught in this program?

TensorFlow version 1.3
Keras version 2
Kinetic ROS
Python Version 3
C++ version 11

Pictures

Introduction to self-driving cars

Self-Driving Car Introduction Video

installation guide

In order to view the course lessons in an organized and regular manner, run the index.html file and scroll through the videos through this file.