Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance.
Deep Learning Illustrated is uniquely visual, intuitive, and accessible, and yet offers a comprehensive introduction to the disciplines techniques and applications.
Packed with full-color applications and easy-to-follow code, it sweeps away much of the complexity of building deep learning models, making the subject approachable and fun to learn.
World-class instructor and practitioner Jon Krohn-with crucial material from Grant Beyleveld and beautiful illustrations by Agla 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.
He also offers a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it.
He covers essential theory with as little mathematics as possible, preferring to illuminate concepts with hands-on Python code and practical run-throughs in accompanying Jupyter notebooks.
To help you progress quickly, he focuses on the versatile, high-level deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.
Youll 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.
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, deep feedforward networks, 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 Register your product for convenient access to downloads, updates, and/or corrections as they become available.
See inside the book for more information.
About the Author: Jon Krohn is the chief data scientist at untapt, a machine learning startup in New York.
He leads a flourishing Deep Learning Study Group, presents the acclaimed Deep Learning with TensorFlow LiveLessons in Safari, and teaches his Deep Learning curriculum at the NYC Data Science Academy.
Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010.
Grant Beyleveld is a doctoral candidate at the Icahn School of Medicine at New Yorks Mount Sinai hospital, researching the relationship between viruses and their hosts.
A founding member of the Deep Learning Study Group, he holds a masters in molecular medicine and medical biochemistry from the University of Witwatersrand.
Agla Bassens is a Belgian artist based in Brooklyn.
She studied fine arts at The Ruskin School of Drawing and Fine Art, Oxford University, and University College Londons Slade School of Fine Arts.
Along with her work as an illustrator, her practice includes still life painting and murals.
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