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Añadir al carritoPaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
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Librería: Goodwill of Central and Coastal Virginia, Richmond, VA, Estados Unidos de America
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Idioma: Inglés
Publicado por No Starch Press, Incorporated, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
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Librería: Half Price Books Inc., Dallas, TX, Estados Unidos de America
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Idioma: Inglés
Publicado por No Starch Press,US, San Francisco, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 38,74
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Añadir al carritoPaperback. Condición: new. Paperback. Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school math-the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance.You'll also learn:How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how they're trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratchYou'll conduct experiments along the way, building to a final case study that incorporates everything you've learned.The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por No Starch Press,US, US, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 45,88
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Añadir al carritoPaperback. Condición: New. Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python - working with leading open-source toolkits and standard datasets - give the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects.
EUR 38,86
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Massive Bookshop, Erving, MA, Estados Unidos de America
EUR 54,01
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EUR 52,02
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 46,74
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 54,84
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 450 pages. 9.50x7.00x1.25 inches. In Stock.
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Publicado por Penguin Random House
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: INDOO, Avenel, NJ, Estados Unidos de America
EUR 38,72
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Random House LLC US Feb 2021, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 57,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you ve been curious about artificial intelligence and machine learning but didn t know where to start, this is the book you ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school math the book will cover the rest. After an introduction to Python, you ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models performance.You ll also learn:How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how they re trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratchYou ll conduct experiments along the way, building to a final case study that incorporates everything you ve learned.The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. Englisch.
Idioma: Inglés
Publicado por Random House LLC US Feb 2021, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 57,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you ve been curious about artificial intelligence and machine learning but didn t know where to start, this is the book you ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school math the book will cover the rest. After an introduction to Python, you ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models performance.You ll also learn:How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how they re trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratchYou ll conduct experiments along the way, building to a final case study that incorporates everything you ve learned.The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. Englisch.
Publicado por Penguin Random House
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: INDOO, Avenel, NJ, Estados Unidos de America
EUR 39,03
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Añadir al carritoCondición: As New. Unread copy in mint condition.
Idioma: Inglés
Publicado por Random House LLC US Feb 2021, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Wegmann1855, Zwiesel, Alemania
EUR 57,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school maththe book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance.You'll also learn:- How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines- How neural networks work and how they're trained- How to use convolutional neural networks- How to develop a successful deep learning model from scratch You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects.
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 87,47
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por No Starch Press,US, US, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 47,66
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python - working with leading open-source toolkits and standard datasets - give the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects.