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Machine Learning with the Raspberry ...
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SpringerLink (Online service)
Machine Learning with the Raspberry Pi = Experiments with Data and Computer Vision /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Machine Learning with the Raspberry Pi/ by Donald J. Norris.
Reminder of title:
Experiments with Data and Computer Vision /
Author:
Norris, Donald J.
Description:
IX, 568 p. 229 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer input-output equipment. -
Online resource:
https://doi.org/10.1007/978-1-4842-5174-4
ISBN:
9781484251744
Machine Learning with the Raspberry Pi = Experiments with Data and Computer Vision /
Norris, Donald J.
Machine Learning with the Raspberry Pi
Experiments with Data and Computer Vision /[electronic resource] :by Donald J. Norris. - 1st ed. 2020. - IX, 568 p. 229 illus.online resource.
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
Standard No.: 10.1007/978-1-4842-5174-4doiSubjects--Topical Terms:
559611
Computer input-output equipment.
LC Class. No.: TK7885-7895
Dewey Class. No.: 004
Machine Learning with the Raspberry Pi = Experiments with Data and Computer Vision /
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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. .
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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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