Deep learning illustrated : a visual, interactive guide to artificial intelligence
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Krohn, J., Beyleveld, G., & Bassens, . A. (2020). Deep learning illustrated: a visual, interactive guide to artificial intelligence . Addison-Wesley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Krohn, Jon, Grant, Beyleveld and Aglaé, Bassens. 2020. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence. Addison-Wesley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Krohn, Jon, Grant, Beyleveld and Aglaé, Bassens. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence Addison-Wesley, 2020.
MLA Citation, 9th Edition (style guide)Krohn, Jon,, Grant Beyleveld, and Aglaé Bassens. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence Addison-Wesley, 2020.
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Grouped Work ID | 02be05ee-3c3c-d7dd-1a8b-7b5e5f338021-eng |
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Full title | deep learning illustrated a visual interactive guide to artificial intelligence |
Author | krohn jon |
Grouping Category | book |
Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-18 02:17:29AM |
Book Cover Information
Image Source | default |
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First Loaded | Sep 17, 2024 |
Last Used | Sep 17, 2024 |
Marc Record
First Detected | Jul 29, 2024 04:04:49 PM |
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Last File Modification Time | Sep 06, 2024 04:40:17 PM |
MARC Record
LEADER | 04254cam a2200469 i 4500 | ||
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001 | on1117308147 | ||
003 | OCoLC | ||
005 | 20240830103855.0 | ||
006 | m o d | ||
007 | cr unu|||||||| | ||
008 | 190903s2020 maua ob 001 0 eng d | ||
020 | |a 0135116821 | ||
020 | |a 9780135116821 | ||
020 | |z 9780135116692 | ||
035 | |a (OCoLC)1117308147 | ||
037 | |a CL0501000068|b Safari Books Online | ||
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049 | |a FMGA | ||
050 | 4 | |a Q325.5 | |
082 | 0 | 4 | |a 006.3/1|q OCoLC|2 23/eng/20230216 |
100 | 1 | |a Krohn, Jon,|e author. | |
245 | 1 | 0 | |a Deep learning illustrated :|b a visual, interactive guide to artificial intelligence /|c Jon Krohn ; with Grant Beyleveld and Aglaé Bassens. |
246 | 3 | 0 | |a Visual, interactive guide to artificial intelligence |
264 | 1 | |a Boston :|b Addison-Wesley,|c [2020] | |
264 | 4 | |c ©2020 | |
300 | |a 1 online resource (1 volume) :|b illustrations | ||
336 | |a text|b txt|2 rdacontent | ||
337 | |a computer|b c|2 rdamedia | ||
338 | |a online resource|b cr|2 rdacarrier | ||
490 | 1 | |a Addison-Wesley data & analytics series | |
504 | |a Includes bibliographical references and index. | ||
520 | |a "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." -- Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated 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. 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. 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. 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 Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. | ||
588 | 0 | |a Online resource; title from title page (Safari, viewed August 30, 2019). | |
650 | 0 | |a Machine learning.|0 http://id.loc.gov/authorities/subjects/sh85079324 | |
650 | 0 | |a Artificial intelligence.|0 http://id.loc.gov/authorities/subjects/sh85008180 | |
650 | 2 | |a Artificial Intelligence | |
650 | 2 | |a Machine Learning | |
700 | 1 | |a Beyleveld, Grant,|e author. | |
700 | 1 | |a Bassens, Aglaé,|e author,|e illustrator. | |
758 | |i has work:|a Deep learning illustrated (Text)|1 https://id.oclc.org/worldcat/entity/E39PCFwpYMQ9JjdMBkyHVftKYd|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
830 | 0 | |a Addison-Wesley data and analytics series.|0 http://id.loc.gov/authorities/names/no2014046281 | |
856 | 4 | 0 | |u https://www.aclib.us/OReilly |