In this "Visual, Interactive Guide to Artificial Intelligence" deep learning is explained with full-color figures and easy-to-follow code. Authors Jon Krohn and Grant Beyleveld present straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Theory is explained with hands-on Python code in accompanying Jupyter notebooks, along with coverage of deep learning library Keras to construct efficient TensorFlow models.  PyTorch, the leading alternative library, is also covered.

<ASIN:0135116694>

Authors: Jon Krohn, Grant Beyleveld and Aglaé Bassens
Publisher: Addison-Wesley
Date: September 2019
Pages: 416
ISBN: 978-0135116692
Print: 0135116694
Kindle: B07W585JGG
Audience: Python developers interested in deep learning techniques
Level: Introductory/Intermediate
Category: Artificial Intelligence

• Discover what makes deep learning systems unique, and the implications for practitioners
• Explore new tools that make deep learning models easier to build, use, and improve
• Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
• Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects

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