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Build Deeper: The Path to Deep Learning Paperback – January 9, 2019

by Thimira Amaratunga (Author)
4.4 4.4 out of 5 stars 5 ratings
See all formats and editions
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New 2019 Edition!

Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application.

It covers:

  • What Deep Learning is, and where it fits with Artificial Intelligence and Machine Learning.
  • How Deep Learning came to be, its predecessors, and the path it took to evolve into what it is today.
  • The important milestones it has passed through the years, and the impact they had on the field.
  • What tools are available for us to learn and build deep learning applications, and how to set them up: Python, TensorFlow, Theano, Keras, and more, on any OS of your choosing: Windows, Linux, or Mac OS.
  • Building our first simple deep learning model.
  • The internal workings of a deep learning model.
  • Using more advanced topics such as Data Augmentation, Transfer Learning, Bottleneck Features, and Fine Tuning to build a practical deep learning application.
  • Getting started with Computer Vision.

All you need now is a little enthusiasm … who knows where it will take you!

Go a little deeper to discover …

Previous slide of product details
  1. Print length
    271 pages
  2. Language
    English
  3. Publication date
    January 9, 2019
  4. Dimensions
    7 x 0.62 x 10 inches
  5. ISBN-10
    1793223017
  6. ISBN-13
    978-1793223012
  7. See all details
Next slide of product details
The Amazon Book Review
The Amazon Book Review
Book recommendations, author interviews, editors' picks, and more. Read it now.

Editorial Reviews

From the Inside Flap

We live in the era of Artificial Intelligence (AI).

We may be born too late to explore earth, and born too early to explore space. Yet, we may be here just in time to witness the rise of AI.

That is, if you help build it.

Everyone's building AIs these days, from AI personal assistants, to self-driving cars. You will hear new players entering the AI game daily, from well-known tech giants like Google, Facebook, Amazon, Microsoft, Apple, IBM, to relatively new names like DeepMind and OpenAI.

Deep Learning is the latest iteration of AI. Although the concept itself has been around for many years, deep learning has become popular during the past few years due to the remarkable breakthroughs it continues to achieve. What was science fiction a decade ago, is now becoming a reality.

Thanks to deep learning, AI technologies are increasingly becoming a part of our household. Today, most of our consumer devices and services have some sort of AI built into them. Maybe it's time you joined the revolution. You too can start contributing to this AI drive.

New tools and resources on deep learning are becoming rapidly available, making this the perfect time to start learning.

When you're starting out, deep learning may seem a bit overwhelming. But this book is all about getting you through those first steps and showing you the fastest way to start building deep learning systems.

From the Back Cover

Deep Learning is no longer shrouded in mystery. In fact, it is the emerging new frontier - the bleeding edge - of AI. It is increasingly achieving superhuman feats and evolving beyond human comprehension. From image and voice recognition, to AI personal assistants and self-driving cars, achievements and breakthroughs that were once mere science fiction are now becoming our reality.

The question now is, do you want to simply be a bystander in this new-age game?

The art of building deep learning systems is becoming easier every day.

This book can be your guide to discovering it yourself.

Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application.

It covers:
  • What Deep Learning is, and where it fits with Artificial Intelligence and Machine Learning.
  • How Deep Learning came to be, its predecessors, and the path it took to evolve into what it is today.
  • The important milestones it has passed through the years, and the impact they had on the field.
  • What tools are available for us to learn and build deep learning applications, and how to set them up: Python, TensorFlow, Theano, Keras, and more, on any OS of your choosing: Windows, Linux, or Mac OS.
  • Building our first simple deep learning model.
  • The internal workings of a deep learning model.
  • Using more advanced topics such as Data Augmentation, Transfer Learning, Bottleneck Features, and Fine Tuning to build a practical deep learning application.
  • Getting started with Computer Vision.
All you need now is a little enthusiasm ... who knows where it will take you!

Go a little deeper to discover ...

Product details

  • Publisher ‏ : ‎ Independently published (January 9, 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 271 pages
  • ISBN-10 ‏ : ‎ 1793223017
  • ISBN-13 ‏ : ‎ 978-1793223012
  • Item Weight ‏ : ‎ 1.05 pounds
  • Dimensions ‏ : ‎ 7 x 0.62 x 10 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 5 ratings

About the author

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Thimira Amaratunga

Thimira Amaratunga

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Seasoned Senior Software Architect and innovative inventor with a robust 15-year track record in the technology industry, specializing in AI & Machine Learning within education and computer vision. Holds a Master's degree in Computer Science and a Bachelor's in Information Technology. Renowned for pioneering contributions to the field, having filed three patents in dynamic neural networks and online learning semantics, and authored four books on Deep Learning, Computer Vision, Generative AI, and LLMs.

Customer reviews

4.4 out of 5 stars
4.4 out of 5
5 global ratings

Top review from the United States

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5.0 out of 5 stars good
Reviewed in the United States on April 26, 2019
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Top reviews from other countries

pramitha
5.0 out of 5 stars Ideal book to start learning Deep Learning!
Reviewed in Australia on February 12, 2019
Verified Purchase
Very helpful. From providing essential knowledge about Deep Learning, this book provides easy to follow coding on how to train one using computer vision examples. I did most of the codings in the book. Explanations are easy to grasp. If you are starting to learn Deep Learning, this book will the ideal one for you.
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