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Machine learning with the Raspberry ...

Norris, Donald J.

Machine learning with the Raspberry Piexperiments with data and computer vision /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning with the Raspberry Piby Donald J. Norris.
Reminder of title:	experiments with data and computer vision /
Author:	Norris, Donald J.
Published:	Berkeley, CA :Apress :2020.
Description:	ix, 568 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-1-4842-5174-4
ISBN:	9781484251744$q(electronic bk.)

Machine learning with the Raspberry Piexperiments with data and computer vision /
Norris, Donald J.

Machine learning with the Raspberry Piexperiments with data and computer vision /[electronic resource] :by Donald J. Norris. - Berkeley, CA :Apress :2020. - ix, 568 p. :ill., digital ;24 cm.

Chapter 1: Introduction to Machine Learning (ML) with the Raspberry Pi (RasPi) -- Chapter 2: Exploration of ML data models: Part 1 -- Chapter 3: Exploration of ML data models: Part 2 -- Chapter 4: Preparation for Deep Learning -- Chapter 5: Practical deep learning ANN demonstrations -- Chapter 6: CNN demonstrations -- Chapter 7: Predictions using ANNs and CNNs -- Chapter 8: Predictions using CNNs and MLPs for medical research -- Chapter 9: Reinforcement Learning.

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.

ISBN: 9781484251744$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5174-4doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .N677 2020

Dewey Class. No.: 006.31

Machine learning with the Raspberry Piexperiments with data and computer vision /
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505 0 $a Chapter 1: Introduction to Machine Learning (ML) with the Raspberry Pi (RasPi) -- Chapter 2: Exploration of ML data models: Part 1 -- Chapter 3: Exploration of ML data models: Part 2 -- Chapter 4: Preparation for Deep Learning -- Chapter 5: Practical deep learning ANN demonstrations -- Chapter 6: CNN demonstrations -- Chapter 7: Predictions using ANNs and CNNs -- Chapter 8: Predictions using CNNs and MLPs for medical research -- Chapter 9: Reinforcement Learning.
520 $a Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.
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