Summary:
The book provides a comprehensive introduction to deep learning, covering fundamental concepts, practical applications, and hands-on tutorials using the Keras library. It guides readers through the creation of neural networks for tasks such as image and text recognition, while explaining the underlying theory and best practices.
Key points:
1. Deep Learning Basics: The book introduces deep learning as a type of machine learning that uses neural networks with three or more layers to learn from large data sets.
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