Advertisement

Deep Learning Pipeline

Building a Deep Learning Model with TensorFlow

  • Hisham El-Amir
  • Mahmoud Hamdy

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Hisham El-Amir, Mahmoud Hamdy
      Pages 3-36
    3. Hisham El-Amir, Mahmoud Hamdy
      Pages 37-56
    4. Hisham El-Amir, Mahmoud Hamdy
      Pages 57-84
    5. Hisham El-Amir, Mahmoud Hamdy
      Pages 85-109
  3. Data

    1. Front Matter
      Pages 111-111
    2. Hisham El-Amir, Mahmoud Hamdy
      Pages 113-145
    3. Hisham El-Amir, Mahmoud Hamdy
      Pages 147-206
    4. Hisham El-Amir, Mahmoud Hamdy
      Pages 207-231
    5. Hisham El-Amir, Mahmoud Hamdy
      Pages 233-276
  4. TensorFlow

    1. Front Matter
      Pages 277-277
    2. Hisham El-Amir, Mahmoud Hamdy
      Pages 279-343
    3. Hisham El-Amir, Mahmoud Hamdy
      Pages 345-366
    4. Hisham El-Amir, Mahmoud Hamdy
      Pages 367-413
    5. Hisham El-Amir, Mahmoud Hamdy
      Pages 415-446
  5. Applying What You’ve Learned

    1. Front Matter
      Pages 447-447
    2. Hisham El-Amir, Mahmoud Hamdy
      Pages 449-469
    3. Hisham El-Amir, Mahmoud Hamdy
      Pages 471-494
    4. Hisham El-Amir, Mahmoud Hamdy
      Pages 495-535
  6. Back Matter
    Pages 537-551

About this book

Introduction

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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!

Keywords

deep learning deep learning pipeline TensorFlow Python R programming machine learning

Authors and affiliations

  • Hisham El-Amir
    • 1
  • Mahmoud Hamdy
    • 2
  1. 1.JizahEgypt
  2. 2.JizahEgypt

Bibliographic information

Industry Sectors
Pharma
Materials & Steel
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering