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Tensorflow for Deep Learning : From Linear Regression to Reinforcement Learning - (Paperback)

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About this item

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
Number of Pages: 240
Genre: Computers + Internet
Sub-Genre: Neural Networks, Programming, Natural Language Processing
Format: Paperback
Publisher: Oreilly & Associates Inc
Book theme: Algorithms
Author: Bharath Ramsundar & Reza Bosagh Zadeh
Language: English
Street Date: March 23, 2018
TCIN: 53300554
UPC: 9781491980453
Item Number (DPCI): 248-60-8784
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MSRPReg: $69.99 Save $3.50 (5% off)
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