Build Deeper: The Path to Deep Learning

by Thimira Amaratunga

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

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 Python, TensorFlow, Theano, Keras, and more, on any OS of your 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!

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Genres: Nonfiction

273 pages, Kindle Edition

Published January 28, 2019

About the author

Software Architect at Pearson | AI Practitioner | Inventor | Author

An inventor. A software architect with over 10 years of industry experience. A practitioner and a researcher in AI & machine learning in education and computer vision domains.

Has a Masters in Computer Science with a Bachelors in IT. Has filed 3 patents to date, in the fields of dynamic neural networks and semantics for online learning platforms. Author of 2 books in deep learning & AI.

Reviews

[Travis · Rating 3 out of 5]

While this is an interesting peek at computer vision, it merely proves that computer vision has a *long* way to go before it's as common place or as good as other technology that has come out of the computer revolution. No doubt, if this author writes another computer vision book in 10 years, it will be leaps and bounds beyond this book, but for now, I don't see computer vision as much more than an interesting side with great potential, but it's not really there just yet, but enthusiasts should definitely keep an eye on it, because there's no telling how fast this field will advance.

[Carrie Watson · Rating 4 out of 5]

I was quite impressed with how easy this book was to understand. Not having much of a computer background, I was expecting terms way above my understanding. This book was written very well, making learning about this new skill very enjoyable. A book anyone who has an interest in AI will thoroughly enjoy.

[Darcee Kraus · Rating 5 out of 5]

I won this in the giveaway! I loved learning about myself and my psyche. I was able to digest this book on several levels.