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Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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  • Title Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis
  • Author(s) Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants
  • Publisher: Packt Publishing - ebooks Account (May 4, 2017)
  • Hardcover/Paperback 368 pages
  • eBook PDF
  • Language: English
  • ISBN-10: 1786464454
  • ISBN-13: 978-1786464453
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Book Description

With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. This book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.

Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.

  • Get a practical deep dive into deep learning algorithms
  • Explore deep learning further with Theano, Caffe, Keras, and TensorFlow
  • Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
  • Dive into Deep Belief Nets and Deep Neural Networks
About the Authors
  • Valentino Zocca graduated with a PhD in mathematics from the University of Maryland, USA, with a dissertation in symplectic geometry, after having graduated with a laurea in mathematics from the University of Rome.
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