Neural Network Projects with Python : (Record no. 30843)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02920nam a2200241Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | 41637 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BdCUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230421155133.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230413s2023 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781789138900 |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | IN-BdCUP |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | LOY |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Loy, James |
| 245 #0 - TITLE STATEMENT | |
| Title | Neural Network Projects with Python : |
| Remainder of title | The Ultimate Guide to Using Python to Explore the True Power of Neural Networks Through Six Projects / |
| Statement of responsibility, etc. | Loy, James |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Birmingham : |
| Name of publisher, distributor, etc. | Packet Publishing, |
| Date of publication, distribution, etc. | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 308 p. ; |
| Dimensions | 24 cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python |
| Topical term or geographic name entry element | Computers |
| Topical term or geographic name entry element | Neural Network Projects |
| 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 | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Bill number | Total checkouts | Full call number | Barcode | Date last seen | Actual Cost, replacement price | Bill Date | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 18/03/2020 | K. K. Distributors, Delhi | 2799.00 | 4113 | 005.133 LOY | 038246 | 13/04/2023 | 1960.00 | 02/02/2020 | Book |