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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, yoüll 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.
What You'll Learn
Acquire a working knowledge of current ML
Use the Raspberry Pi to implement ML techniques and algorithms
Apply AI and ML tools and techniques to your own work projects and studies
Who This Book Is For
Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.
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, yoüll 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.
What You'll Learn
Acquire a working knowledge of current ML
Use the Raspberry Pi to implement ML techniques and algorithms
Apply AI and ML tools and techniques to your own work projects and studies
Who This Book Is For
Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.
Build on the concepts provided in "Beginning Artificial Intelligence with the Raspberry Pi"
Integrate AI and ML concepts and algorithms into both hobbyist and commercial projects
Work with real machine learning experiments and modify them to fit your own needs and interests
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.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Taschenbuch |
Inhalt: |
ix
568 S. 229 s/w Illustr. 568 p. 229 illus. |
ISBN-13: | 9781484251737 |
ISBN-10: | 1484251733 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Norris, Donald J |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 30 mm |
Von/Mit: | Donald J Norris |
Erscheinungsdatum: | 30.11.2019 |
Gewicht: | 0,867 kg |
Build on the concepts provided in "Beginning Artificial Intelligence with the Raspberry Pi"
Integrate AI and ML concepts and algorithms into both hobbyist and commercial projects
Work with real machine learning experiments and modify them to fit your own needs and interests
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.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Taschenbuch |
Inhalt: |
ix
568 S. 229 s/w Illustr. 568 p. 229 illus. |
ISBN-13: | 9781484251737 |
ISBN-10: | 1484251733 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Norris, Donald J |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 30 mm |
Von/Mit: | Donald J Norris |
Erscheinungsdatum: | 30.11.2019 |
Gewicht: | 0,867 kg |