Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms (Record no. 119338)
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000 -LEADER | |
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fixed length control field | nam a22 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20210115114733.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200106b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789352135608 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.32 |
Item number | BUD |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Buduma, Nikhil |
9 (RLIN) | 46488 |
245 ## - TITLE STATEMENT | |
Title | Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Shroff Publishers & Distributors Pvt. Ltd. |
Date of publication, distribution, etc. | 2017 |
Place of publication, distribution, etc. | Mumbai |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 283p |
500 ## - GENERAL NOTE | |
General note | 1. The network<br/>2. Training feed forward neural networks<br/>3. Implementing neural networks in tensor flow<br/>4. Beyond gradient Descent <br/>5. Convolutional neural networks<br/>6. Embedding and representation learning<br/>7. Models for sequence analysis<br/>8. Memory augmented networks <br/>9. Deep reinforcement learning |
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
Personal name | Computer Engineering |
9 (RLIN) | 46489 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Locascio, Nicholas |
9 (RLIN) | 46490 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Call number prefix | 006.32 |
Call number suffix | BUD |
No items available.