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Learn Keras for Deep Neural Networks

Af: Jojo Moolayil Engelsk Paperback
SPAR
kr 83

Learn Keras for Deep Neural Networks

Af: Jojo Moolayil Engelsk Paperback

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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    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.


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


    Kategori Neurale net og fuzzy systemer


    Sprog Engelsk


    Indbinding Paperback


    Sider 182


    Udgave


    Længde 0mm


    Bredde 235mm


    Højde 155mm


    Udg. Dato 7 dec 2018


    Oplagsdato 7 dec 2018

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