DEEP LEARNING A PRACTITIONERS APPROACH.

By:

Contributor(s):

Material type:

TextLanguage: ENGLISH Publication details: NAVI MUMBAI; SHROFF PUBLISHERS AND DISTRIBUTORS PVT. LTD; 2021Edition: 2021Description: 507Subject(s):

DDC classification:

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Status	Notes	Barcode
Text Books	PCCOE	PCCOE	006.31 (Browse shelf(Opens below))	Available	MECHANICAL	PCCOEEC35905

Browsing PCCOE shelves Close shelf browser (Hides shelf browser)

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available			Next
Previous	006.31 MACHINE LEARNING ALGORITHMS REFERENCE GUIDE FOR POPULER ALGORITHMS FOR DATA SCIENCE AND MACHINE LEAR	006.31 ADVANCED FOUNDATION ENGINEERING GEOTECHNICAL ENGINEERING SERIES.	006.31 DEEP LEATNING FOR COMPUTER VISION EXPERT TECHNIQUES TO TRAIN ADVANCED NEURAL NETWORKS USING TENSORFL	006.31 DEEP LEARNING A PRACTITIONERS APPROACH.	006.31 MACHINE LEARNING.	006.31 APPLIED DEEP LEARNING : A CASE-BASED APPROACH TO UNDERSTANDING DEEP NEURAL NETWORKS.	006.31 APPLIED DEEP LEARNING : A CASE-BASED APPROACH TO UNDERSTANDING DEEP NEURAL NETWORKS.	Next

There are no comments on this title.

to post a comment.