Preface
Deep learning is one of the most popular domains in the artificial intelligence (AI) space, which allows you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you’ll gain insights into each algorithm, the mathematical principles behind it, and how to implement them in the best possible manner.
The book starts by explaining how you can build your own neural network, followed by introducing you to TensorFlow; the powerful Python-based library for machine learning and deep learning. Next, you will get up to speed with gradient descent variants, such as NAG, ...
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