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Practical Deep Learning Python Based by Kneusel Ronald (10 results)
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Practical Deep Learning : A Python-Based Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 53.49
Convert currencyUS$ 20.37 shipping from United Kingdom to U.S.A.Quantity: 5 available
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Practical Deep Learning : A Python-Based Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 55.57
Convert currencyUS$ 20.37 shipping from United Kingdom to U.S.A.Quantity: 5 available
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Practical Deep Learning: A Python-Based Introduction
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.63
Convert currencyUS$ 16.27 shipping from United Kingdom to U.S.A.Quantity: 2 available
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Practical Deep Learning : A Python-Based Introduction
Published by Random House LLC US Feb 2021, 2021
ISBN 10: 1718500742 ISBN 13: 9781718500747
Language: English
US$ 68.05
Convert currencyUS$ 36.49 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketTaschenbuch. Condition: 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.
