Fundamentals of deep learning : (Record no. 91360)

MARC details
000 -LEADER
fixed length control field 02019nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240814152500.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231215b2022 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355420121
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1 BUD-N
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Buduma, Nithin
245 ## - TITLE STATEMENT
Title Fundamentals of deep learning :
Remainder of title designing next-generation machine intelligence algorithms /
Statement of responsibility, etc. Nithin Buduma and others
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India
Name of publisher, distributor, etc. Shroff Publishers
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 372 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 1650.00.
500 ## - GENERAL NOTE
General note We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.<br/><br/>The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.<br/><br/>Learn the mathematics behind machine learning jargon<br/>Examine the foundations of machine learning and neural networks<br/>Manage problems that arise as you begin to make networks deeper<br/>Build neural networks that analyze complex images<br/>Perform effective dimensionality reduction using autoencoders<br/>Dive deep into sequence analysis to examine language<br/>Explore methods in interpreting complex machine learning models<br/>Gain theoretical and practical knowledge on generative modeling<br/>Understand the fundamentals of reinforcement learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Buduma, Nikhil
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Papa, Joe
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Locascio, Nicholas
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad General Stack (For lending) 15/12/2023 3 2 005.1 BUD-N 47508 02/04/2025 12/03/2025 15/12/2023 Books
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

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