Applied Deep Learning with Python, 9781789804744
Paperback
Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we’ll show you how to apply your existing understanding of the Python language to this new and exciting field that’s full of new opportunities (and high expectations)!

Applied Deep Learning with Python

Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

$139.59

  • Paperback

    334 pages

  • Release Date

    31 August 2018

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Summary

A hands-on guide to deep learning that’s filled with intuitive explanations and engaging practical examples

Key Features
  • Designed to iteratively develop the skills of Python users who don’t have a data science background
  • Covers the key foundational concepts you’ll need to know when building deep learning systems
  • Full of step-by-step exercises and activities to help build the skills that you need for the real-world
Book Description

Taking an approach tha…

Book Details

ISBN-13:9781789804744
ISBN-10:1789804744
Author:Alex Galea, Luis Capelo
Publisher:Packt Publishing Limited
Imprint:Packt Publishing Limited
Format:Paperback
Number of Pages:334
Release Date:31 August 2018
Weight:628g
Dimensions:93mm x 75mm
About The Author

Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a master’s degree in Physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks. Luis Capelo is a Harvard-trained analyst and a programmer, who specializes in designing and developing data science products. He is based in New York City, America. Luis is the head of the Data Products team at Forbes, where they investigate new techniques for optimizing article performance and create clever bots that help them distribute their content. He worked for the United Nations as part of the Humanitarian Data Exchange team (founders of the Center for Humanitarian Data). Later on, he led a team of scientists at the Flowminder Foundation, developing models for assisting the humanitarian community. Luis is a native of Havana, Cuba, and the founder and owner of a small consultancy firm dedicated to supporting the nascent Cuban private sector.

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