Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles (Record no. 890)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01750nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210122143331.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210122b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781788397872 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Item number | CIA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ciaburro, Giuseppe |
| 245 ## - TITLE STATEMENT | |
| Title | Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Packt Publishing |
| Place of publication, distribution, etc. | Birmingham |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 257 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 2799.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | About this book<br/>Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.<br/><br/>This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you’ll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore the generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.<br/><br/>By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | R (Computer program language) |
| 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 | Venkateswaran, Balaji |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| 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 | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type | Bill No | Bill Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 01/22/2021 | Bharat Book Distributors | 2096.45 | 1 | 006.32 CIA | 001044 | 06/22/2022 | 06/20/2022 | 1 | 2799.00 | 01/22/2021 | Book | 20-21/8231 | 21-01-2021 |