Deep Learning Illustrated

<p>The authors' clear visual style provides a comprehensive look at what's currently possible with artificial neural networks as well as a glimpse of the magic that's to come.<br>--<em>Tim Urban author of </em>Wait But Why</p> <p><strong>Fully Practical Insightful Guide to Modern Deep Learning</strong><br>Deep learning is transforming software facilitating powerful new artificial intelligence capabilities and driving unprecedented algorithm performance. <em><strong>Deep Learning Illustrated</strong></em> is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code it sweeps away the complexity of building deep learning models making the subject approachable and fun to learn.<br>World-class instructor and practitioner Jon Krohn--with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens--presents straightforward analogies to explain what deep learning is why it has become so popular and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers data scientists researchers analysts and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch the leading alternative library is also covered.<br>You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.<br></p> <ul> <li>Discover what makes deep learning systems unique and the implications for practitioners</li> <li>Explore new tools that make deep learning models easier to build use and improve</li> <li>Master essential theory: artificial neurons training optimization convolutional nets recurrent nets generative adversarial networks (GANs) deep reinforcement learning and more</li> <li>Walk through building interactive deep learning applications and move forward with your own artificial intelligence projects</li> </ul> <em>Register your book for convenient access to downloads updates and/or corrections as they become available. See inside book for details.</em> <br> <p></p>