Advanced Deep Learning with Keras

To get the most out of this book

• Deep learning and Python: The reader should have a fundamental knowledge of deep learning and its implementation in Python. While previous experience in using Keras to implement deep learning algorithms is important, it is not required. Chapter 1, Introducing Advanced Deep Learning with Keras offers a review of deep learning concepts and their implementation in Keras.
• Math: The discussions in this book assume that the reader is familiar with calculus, linear algebra, statistics, and probability at the college level.
• GPU: Majority of the Keras implementations in this book require GPU. Without GPU, it is not practical to execute many of the code examples because of the time involved (many hours to days). The examples ...