Math and architectures of deep learning.

Format:

Video

Author/Creator:

Chaudhury, Krishnendu, author.

Ashok, Ananya H., author.

Narumanchi, Sujay, author.

Shankar, Devashish, author.

Contributor:

Manning Publications, publisher.

Language:

English

Subjects (All):

Deep learning (Machine learning).

Deep learning (Machine learning)--Mathematics.

Python (Computer program language).

Physical Description:

1 online resource (1 video file (17 hr., 15 min.)) : sound, color.

Edition:

[First edition].

Video edition.

Place of Publication:

[Shelter Island, New York] : Manning Publications, [2024]

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.

Notes:

OCLC-licensed vendor bibliographic record.

"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."

OCLC:

1445358103

Publisher Number:

9781617296482VE