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  • © 2020

Deep Learning Projects Using TensorFlow 2

Neural Network Development with Python and Keras

Apress
  • Study diagrams, tables, flowcharts, and other such visual aids to interact visually with deep learning information

  • Troubleshoot deep learning projects

  • Work through deep learning projects line-by-line to understand the concepts and build no them

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxv
  2. Getting Started: Installation and Troubleshooting

    • Vinita Silaparasetty
    Pages 1-47
  3. Perceptrons

    • Vinita Silaparasetty
    Pages 49-69
  4. Neural Networks

    • Vinita Silaparasetty
    Pages 71-86
  5. Sentiment Analysis

    • Vinita Silaparasetty
    Pages 87-118
  6. Music Generation

    • Vinita Silaparasetty
    Pages 119-155
  7. Image Colorization

    • Vinita Silaparasetty
    Pages 157-188
  8. Image Deblurring

    • Vinita Silaparasetty
    Pages 189-222
  9. Image Manipulation

    • Vinita Silaparasetty
    Pages 223-248
  10. Neural Network Collection

    • Vinita Silaparasetty
    Pages 249-347
  11. Back Matter

    Pages 349-421

About this book

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. 


Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. 


The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. 


What You'll Learn

  • Grasp the basic process of neural networks through projects, such as creating music
  • Restore and colorize black and white images with deep learning processes


Who This Book Is For


Beginners new to TensorFlow and Python. 

Authors and Affiliations

  • Bangalore, India

    Vinita Silaparasetty

About the author

Vinita Silaparasetty is a Data Scientist at Trendwise Analytics. Deep Learning is a topic she's passionate about, and she has experience working on deep learning projects and experimenting with neural networks. She aspires to share her love for deep learning with beginners and make it simple and easy to understand, so as to ignite a similar passion in them.

Bibliographic Information

  • Book Title: Deep Learning Projects Using TensorFlow 2

  • Book Subtitle: Neural Network Development with Python and Keras

  • Authors: Vinita Silaparasetty

  • DOI: https://doi.org/10.1007/978-1-4842-5802-6

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books

  • Copyright Information: Vinita Silaparasetty 2020

  • Softcover ISBN: 978-1-4842-5801-9Published: 25 July 2020

  • eBook ISBN: 978-1-4842-5802-6Published: 24 July 2020

  • Edition Number: 1

  • Number of Pages: XXV, 421

  • Number of Illustrations: 147 b/w illustrations

  • Topics: Artificial Intelligence

Buy it now

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access