TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Author: Reza Bosagh Zadeh

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9789352137046
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    All Indian Reprints of O'Reilly are printed in Grayscale

    Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines.

    TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

    • Learn TensorFlow fundamentals, including how to perform basic computation
    • Build simple learning systems to understand their mathematical foundations
    • Dive into fully connected deep networks used in thousands of applications
    • Turn prototypes into high-quality models with hyperparameter optimization
    • Process images with convolutional neural networks
    • Handle natural language datasets with recurrent neural networks
    • Use reinforcement learning to solve games such as tic-tac-toe
    • Train deep networks with hardware including GPUs and tensor processing units

     

    Books
    Author
    Reza Bosagh Zadeh
    Author
    Bharath Ramsundar
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    256
    Publication Date
    15/04/2018
    Publisher
    Shroff/O'Reilly
    Year
    2018
    Dimensions
    Dimensions (W x H x D)
    9.125 X 7 X 0.7 inches

    Table of Contents (9789352137046_toc.pdf, 204 Kb) [Download]

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