Math and architectures of deep learning

Math and architectures of deep learning

Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL arch...

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Bibliographic Details
Corporate Author: Manning Publications, publisher (publisher)
Other Authors: Chaudhury, Krishnendu, author (author), Ashok, Ananya H., author, Narumanchi, Sujay, author, Shankar, Devashish, author
Format: Online Video
Language:Inglés
Published: [Shelter Island, New York] : Manning Publications [2024]
Edition:[First edition]. Video edition
Subjects:
Deep learning (Machine learning)
Deep learning (Machine learning) > Mathematics.
Python (Computer program language)
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009837633406719
Description
Summary:Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research.
Item Description:"In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video."
Physical Description:1 online resource (1 video file (17 hr., 15 min.)) : sound, color

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