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All posts tagged Deep

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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