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ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress L. P.] Softcover Used book that is in clean, average condition without any missing pages. [Mishawaka, IN, U.S.A.] [Publication Year: 2017]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress L. P.] Softcover Used book that is in clean, average condition without any missing pages. [Mishawaka, IN, U.S.A.] [Publication Year: 2017]
Apress, Date: 2017. Paperback. Good. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed. 2017. Apress ISBN 1484227654 9781484227657 [US]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1 [Dallas, TX, U.S.A.] [Publication Year: 2017]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2017]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover signs of little wear on the cover. [Bensalem, PA, U.S.A.] [Publication Year: 2017]
Apress 4/19/2017 12: 00: 00 AM 1st ed. Softcover New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover Special order direct from the distributor [Victoria, BC, Canada] [Publication Year: 2017]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover Book is in NEW condition. 0.75 [Hawthorne, CA, U.S.A.] [Publication Year: 2017]
ISBN10: 1484227654, ISBN13: 9781484227657, [publisher: Apress] Softcover nach der Bestellung gedruckt Neuware - Printed after ordering - Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.Deep Learning with Python alsointroduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments.What You Will LearnLeverage deep learning frameworks in Python namely, Keras, Theano, and CaffeGain the fundamentals of deep learning with mathematical prerequisitesDiscover the practical considerations of large scale experimentsTake deep ...
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