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  1. Bog
  2. Kunstig intelligens
  3. Neurale net og fuzzy systemer

Learn Keras for Deep Neural Networks

- A Fast-Track Approach to Modern Deep Learning with Python
Af: Jojo Moolayil Engelsk Paperback

Learn Keras for Deep Neural Networks

- A Fast-Track Approach to Modern Deep Learning with Python
Af: Jojo Moolayil Engelsk Paperback
Tjek vores konkurrenters priser

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.

The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You''ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets.

Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you''ll further hone your skills in deep learning and cover areas of active development and research in deep learning. 

At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.

What You''ll Learn

  • Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions.
  • Design, develop, train, validate, and deploy deep neural networks using the Keras framework
  • Use best practices for debugging and validating deep learning models
  • Deploy and integrate deep learning as a service into a larger software service or product
  • Extend deep learning principles into other popular frameworks

    • Who This Book Is For 

    Software engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.


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    Tjek vores konkurrenters priser
    Normalpris
    kr 431
    Fragt: 39 kr
    6 - 8 hverdage
    20 kr
    Pakkegebyr
    God 4 anmeldelser på
    Tjek vores konkurrenters priser

    Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.

    The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You''ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets.

    Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you''ll further hone your skills in deep learning and cover areas of active development and research in deep learning. 

    At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.

    What You''ll Learn

  • Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions.
  • Design, develop, train, validate, and deploy deep neural networks using the Keras framework
  • Use best practices for debugging and validating deep learning models
  • Deploy and integrate deep learning as a service into a larger software service or product
  • Extend deep learning principles into other popular frameworks

    • Who This Book Is For 

    Software engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.


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    Se mere i:
    Produktdetaljer
    Sprog: Engelsk
    Sider: 182
    ISBN-13: 9781484242391
    Indbinding: Paperback
    Udgave:
    ISBN-10: 1484242394
    Kategori: Neurale net og fuzzy systemer
    Udg. Dato: 7 dec 2018
    Længde: 0mm
    Bredde: 155mm
    Højde: 235mm
    Forlag: APress
    Oplagsdato: 7 dec 2018
    Forfatter(e): Jojo Moolayil
    Forfatter(e) Jojo Moolayil

    Kategori Neurale net og fuzzy systemer

    ISBN-13 9781484242391

    Sprog Engelsk

    Indbinding Paperback

    Sider 182

    Udgave

    Længde 0mm

    Bredde 155mm

    Højde 235mm

    Udg. Dato 7 dec 2018

    Oplagsdato 7 dec 2018

    Forlag APress

    Kategori sammenhænge