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...

Full description

Saved in:
Bibliographic Details
Main Authors: Chaudhury, Krishnendu (Author), Ashok, Ananya H. (Author), Narumanchi, Sujay (Author), Shankar, Devashish (Author)
Format: Electronic Video
Language:English
Published: [Shelter Island, New York] : Manning Publications, [2024]
Edition:[First edition].
Subjects:
Online Access:CONNECT

MARC

LEADER 00000ngm a22000007i 4500
001 in00006566909
006 m o c
007 vz czazuu
007 cr cnannnuuuuu
008 240709s2024 nyu000 o vleng d
005 20240729134042.5
035 |a 1WRLDSHRon1445358103 
040 |a ORMDA  |b eng  |e rda  |e pn  |c ORMDA  |d OCLCO 
024 8 |a 9781617296482VE 
035 |a (OCoLC)1445358103 
037 |a 9781617296482VE  |b O'Reilly Media 
050 4 |a Q325.73 
082 0 4 |a 006.3/1  |2 23/eng/20240709 
049 |a TXMM 
245 0 0 |a Math and architectures of deep learning. 
250 |a [First edition]. 
250 |a Video edition. 
264 1 |a [Shelter Island, New York] :  |b Manning Publications,  |c [2024] 
300 |a 1 online resource (1 video file (17 hr., 15 min.)) :  |b sound, color. 
306 |a 171500 
336 |a two-dimensional moving image  |b tdi  |2 rdacontent 
337 |a video  |b v  |2 rdamedia 
337 |a computer  |b c  |2 rdamedia 
338 |a other  |b vz  |2 rdacarrier 
338 |a online resource  |b cr  |2 rdacarrier 
344 |a digital  |2 rdatr 
347 |a video file  |2 rdaft 
380 |a Instructional films  |2 lcgft 
500 |a "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." 
520 |a 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. 
588 0 |a Online resource; title from title details screen (O'Reilly, viewed July 9, 2024) 
500 |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access)  |5 TMurS 
650 0 |a Deep learning (Machine learning) 
650 0 |a Deep learning (Machine learning)  |x Mathematics. 
650 0 |a Python (Computer program language) 
655 7 |a Instructional films.  |2 lcgft 
655 7 |a Nonfiction films.  |2 lcgft 
655 7 |a Internet videos.  |2 lcgft 
700 1 |a Chaudhury, Krishnendu,  |e author. 
700 1 |a Ashok, Ananya H.,  |e author. 
700 1 |a Narumanchi, Sujay,  |e author. 
700 1 |a Shankar, Devashish,  |e author. 
710 2 |a Manning Publications,  |e publisher. 
730 0 |a WORLDSHARE SUB RECORDS 
856 4 0 |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9781617296482VE/?ar  |z CONNECT  |3 O'Reilly  |t 0 
949 |a ho0 
994 |a 92  |b TXM 
998 |a wi 
999 f f |s d774ce1d-27e9-40c1-bd3e-dcc5d9acb1ad  |i a25900fe-817e-44bf-9d0d-9ad65205cd60  |t 0 
952 f f |a Middle Tennessee State University  |b Main  |c James E. Walker Library  |d Electronic Resources  |t 0  |e Q325.73   |h Library of Congress classification