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matrices, and Python programming. Approaching this material without this back? ground is possible, but likely to be more challenging. Background in linear algebra may also be helpful in navigating certain sections of mathematical exposition. By the end of the book, we hope that our readers will be left with an intuition for how to approach problems using deep learning, the historical context

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In this course, you'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python. 1 Basics of deep learning

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