1.

Record Nr.

UNINA9910254569203321

Autore

Norris Donald J

Titolo

Beginning Artificial Intelligence with the Raspberry Pi / / by Donald J. Norris

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017

ISBN

1-4842-2743-3

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (369 pages) : illustrations

Collana

Technology In Action

Disciplina

006.3

Soggetti

Artificial intelligence

Computer hardware

Python (Computer program language)

Artificial Intelligence

Computer Hardware

Python

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Chapter 1:   Introduction to Artificial Intelligence (AI) -- Chapter 2:  Basic AI Concepts -- Chapter 3:  Expert System Demonstrations -- Chapter 4:  Games -- Chapter 5:  Fuzzy Logic Systems -- Chapter 6:  Machine Learning -- Chapter 7:  Machine Learning - Artificial Neural Networks -- Chapter 8:  Machine Learning - Deep Learning -- Chapter 9:  Machine learning - Practical ANN Demonstration  -- Chapter 10: Evolutionary Computing -- Chapter 11: Behavior-Based Robotics -- Appendix A: Build Instructions for the Alfie Robot Car.

Sommario/riassunto

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi.  The Prolog language will also be introduced and used to demonstrate fundamental AI concepts.  In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few



sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book.