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Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: HPB-Red, Dallas, TX, U.S.A.
Libro
paperback. Condizione: 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!.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Book Deals, Tucson, AZ, U.S.A.
Libro
Condizione: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers.
Editore: Packt Publishing Limited, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Libro Print on Demand
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
Libro
Condizione: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
Libro
Condizione: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Books Unplugged, Amherst, NY, U.S.A.
Libro
Condizione: New. Buy with confidence! Book is in new, never-used condition.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Book Deals, Tucson, AZ, U.S.A.
Libro
Condizione: New. New! This book is in the same immaculate condition as when it was published.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Book Deals, Tucson, AZ, U.S.A.
Libro
Condizione: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages.
Editore: Packt Publishing, 2023
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Save With Sam, North Miami, FL, U.S.A.
Libro Print on Demand
Paperback. Condizione: New. Brand New! This item is printed on demand.
Editore: Packt Publishing 2017-10, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: Packt Publishing Limited, 2020
ISBN 10: 1789133963ISBN 13: 9781789133967
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro Print on Demand
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Editore: Packt Publishing Limited, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Libro Print on Demand
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: GoldBooks, Denver, CO, U.S.A.
Libro
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide Key Features:Practical recipes on training different neural network models and tuning them for optimal performance Use Python frameworks like TensorFlow, Caffe, Keras, Theano for Natural Language Processing, Computer Vision, and more A hands-on guide covering the common as well as the not so common problems in deep learning using Python Book Description: Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. What You Will Learn:Implement different neural network models in Python Select the best Python framework for deep learning such as PyTorch, Tensorflow, MXNet and Keras Apply tips and tricks related to neural networks internals, to boost learning performances Consolidate machine learning principles and apply them in the deep learning field Reuse and adapt Python code snippets to everyday problems Evaluate the cost/benefits and performance implication of each discussed solution Who this book is for: This book is intended for machine learning professionals who are looking to use deep learning algorithms to create real-world applications using Python. Thorough understanding of the machine learning concepts and Python libraries such as NumPy, SciPy and scikit-learn is expected. Additionally, basic knowledge in linear algebra and calculus is desired.
Editore: Packt Publishing, 2017
ISBN 10: 178712519XISBN 13: 9781787125193
Da: dsmbooks, Liverpool, Regno Unito
Libro
Paperback. Condizione: New. New. book.