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All posts tagged Deep

Photographing the Deep Sky: Images in Space and Time


Photographing the Deep Sky: Images in Space and Time by Chris Baker
English | 30 May 2018 | ISBN: 1526715538 | 168 Pages | EPUB | 26.82 MB

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The Last Hacker: Deep Web (Volume Book 1)


The Last Hacker: Deep Web (Volume Book 1) by Jesús Pablo Medina García
English | 19 Apr 2018 | ASIN: B07CJV5NHS | 65 Pages | MOBI | 325.54 KB

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Deep Learning with TensorFlow – Second Edition


Deep Learning with TensorFlow – Second Edition by Giancarlo Zaccone
English | 29 Mar. 2018 | ISBN: 1788831101 | 484 Pages | EPUB | 17.2 MB

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Deep Learning with Keras


Deep Learning with Keras by Antonio Gulli,‎ Sujit Pal
English | April 26th, 2017 | ASIN: B06Y2YMRDW, ISBN: 1787128423 | 332 Pages | AZW4 | 79.29 MB

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Skin Deep – April 2018


Skin Deep – April 2018
English | 116 pages | True PDF | 24.7 MB

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Docker Deep Dive


Nigel Poulton, "Docker Deep Dive"
ISBN: 1521822808 | 2018 | EPUB/PDF | 430 pages | 15 MB/15 MB

This is the ultimate book for learning Docker, brought to you by Docker Captain and leading educator in the container ecosystem Nigel Poulton.

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Programming iOS 11: Dive Deep into Views, View Controllers, and Frameworks


Programming iOS 11: Dive Deep into Views, View Controllers, and Frameworks by Matt Neuburg
English | December 7th, 2017 | ASIN: B078146DQ2, ISBN: 1491999225 | 890 pages | EPUB | 8.98 MB

If you’re grounded in the basics of Swift, Xcode, and the Cocoa framework, this book provides a structured explanation of all essential real-world iOS app components. Through deep exploration and copious code examples, you’ll learn how to create views, manipulate view controllers, and add features from iOS frameworks.

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Perl 6 Deep Dive


Perl 6 Deep Dive by Andrew Shitov
English | 11 Sept. 2017 | ISBN: 178728204X | ASIN: B073FQR8JB | 402 Pages | AZW3 | 672.47 KB

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Skin Deep – January 2018


Skin Deep – January 2018
English | 100 pages | True PDF | 25.9 MB

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Python Deep Learning Cookbook


Python Deep Learning Cookbook: Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python by Indra den Bakker
English | 27 Oct. 2017 | ISBN: 178712519X | ASIN: B075V93F2Z | 330 Pages | AZW3 | 3.89 MB

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Deep Learning for Beginners: Concepts, Techniques and Tools (Secret of Data)


Deep Learning for Beginners: Concepts, Techniques and Tools (Secret of Data) by Thomas Laville
English | 29 Oct. 2017 | ASIN: B076ZYD32J | 59 Pages | AZW3 | 268.91 KB

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Perl 6 Deep Dive


Perl 6 Deep Dive by Andrew Shitov
English | 11 Sept. 2017 | ISBN: 178728204X | ASIN: B073FQR8JB | 402 Pages | AZW3 | 672.47 KB

Key Features

Filled with practical examples, this comprehensive guide explores all aspects of Perl 6.
Leverage the power of Perl 6 concurrency to develop responsive and high-performant software.
Delves into various programming paradigms (such as Object Oriented, functional, and reactive) that can be adopted by Perl 6 developers to write effective code.

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Learning TensorFlow: A Guide to Building Deep Learning Systems


Learning TensorFlow: A Guide to Building Deep Learning Systems by Tom Hope
English | 9 Aug. 2017 | ISBN: 1491978511 | ASIN: B074PDHDQQ | 242 Pages | AZW3 | 3.43 MB

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.

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Deep Learning: A Practitioner’s Approach


Deep Learning: A Practitioner’s Approach by Josh Patterson
English | 28 July 2017 | ISBN: 1491914254 | ASIN: B074D5YF1D | 538 Pages | AZW3 | 7.15 MB

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

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