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Deep Learning Pipeline

Building a Deep Learning Model with TensorFlow

Authors: El-Amir, Hisham, Hamdy, Mahmoud

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  • Discover the difference between the regular and pipelined model of deep learning 
  • Learn all the detailed steps of an applicable deep learning pipeline
  • Use a pipeline to help better manage deep learning projects and applications
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eBook £21.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-5349-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Softcover £27.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-5348-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. 

You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.  

You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you!
What You'll Learn
  • Develop a deep learning project using data
  • Study and apply various models to your data
  • Debug and troubleshoot the proper model suited for your data

Who This Book Is For

Developers, analysts, and data scientists looking to add to or enhance their existing skills by accessing some of the most powerful recent trends in data science. Prior experience in Python or other TensorFlow related languages and mathematics would be helpful.

About the authors

Hisham Elamir​ is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meetups, conferences, and other events. 

 Mahmoud Hamdy is a machine learning engineer who works in Egypt and lives in Egypt, His primary area of study is the overlap between knowledge, logic, language, and learning. He works helping train machine learning, and deep learning models to distil large amounts of unstructured, semi-structured, and structured data into new knowledge about the world by using methods ranging from deep learning to statistical relational learning. He applies strong theoretical and practical skills in several areas of machine learning to finding novel and effective solutions for interesting and challenging problems in such interconnections

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook £21.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-5349-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £27.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-5348-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning Pipeline
Book Subtitle
Building a Deep Learning Model with TensorFlow
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Hisham El-Amir and Mahmoud Hamdy
eBook ISBN
978-1-4842-5349-6
DOI
10.1007/978-1-4842-5349-6
Softcover ISBN
978-1-4842-5348-9
Edition Number
1
Number of Pages
XXV, 551
Number of Illustrations
214 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.