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 …

About the Author

Thimira Amaratunga is an inventor. He is currently a software architect at Pearson PLC and counts over a decade of experience in the software industry with multiple patents in applied Machine Learning and Neural Networks. As a firm believer of AI, Thimira's aim is to spread enthusiasm and knowledge about AI among the masses. He is the author of Codes of Interest, the popular blog on Machine Learning, AI, and Computer Vision.

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