Deep Learning Illustrated: A Visual, Interactive Guide

instant_delivery
  • Seller:

    zidzero

  • Feedback:

    18

    0

    1

  • Rating: 94.7% (19)

  • Member Since:

    May 23rd, 2015

  • Available QTY

    1 items

  • Buy Now

    $8.00 (Reference Only)

  • 0.000741 BTC

  • 0.173176 LTC

  • Item ID

    #3136211

  • Condition

    Brand New

  • Ending

  • Watch List

Item description

Attention: Digital Books. We DO NOT sell the paper version of the book.
This is NOT a physical book, it is an eBook in PDF/EPUB/MOBI formats.

eBook's will be delivered straight to your PayPal email...!!!
eBook that you purchase we will send to your E-mail address that you use on PayPal or any-other email you choose...

File Formats : PDF , EPUB , MOBI


================================================

Fully Practical, Insightful Guide to Modern Deep Learning

Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.

World-class instructor and practitioner Jon Krohn—with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens—presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.

You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.

Discover what makes deep learning systems unique, and the implications for practitioners
Explore new tools that make deep learning models easier to build, use, and improve
Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

  • You might also like

    See all Items

    • loading...