Fundamentals of deep learning : (Record no. 91360)
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000 -LEADER | |
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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 |
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 |
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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 |