Beginning Application Development with TensorFlow and Keras (notice n° 70538)
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| fixed length control field | 03222cam a2200277zu 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FRCYB88856918 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250107230416.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250108s2018 fr | o|||||0|0|||eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781789537291 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | FRCYB88856918 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | FR-PaCSA |
| Language of cataloging | en |
| Transcribing agency | |
| Description conventions | rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Capelo, Luis |
| 245 01 - TITLE STATEMENT | |
| Title | Beginning Application Development with TensorFlow and Keras |
| Statement of responsibility, etc. | ['Capelo, Luis'] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Packt Publishing |
| Date of production, publication, distribution, manufacture, or copyright notice | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. |
| 336 ## - CONTENT TYPE | |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type code | c |
| Source | rdamdedia |
| 338 ## - CARRIER TYPE | |
| Carrier type code | c |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applicationsAbout This BookFocus on neural network and its essential operationsPrepare data for a deep learning model and deploy it as an interactive web application, with Flask and a HTTP APIUse Keras, a TensorFlow abstraction library Who This Book Is ForThis course is ideal for experienced developers, analysts, or a data scientists, who want to develop applications using TensorFlow and Keras. This rapid hands-on course quickly shows you how to get to grips with TensorFlow in the context of real-world application development. We assume that you are familiar with Python and have a basic knowledge of web application development. If you have a background in linear algebra, probability, and statistics, you will easily grasp concepts that are discussed in the course.What You Will LearnSet up a deep learning programming environmentExplore the common components of a neural network and its essential operationsPrepare data for a deep learning modelDeploy model as an interactive web application, with Flask and a HTTP APIUse Keras, a TensorFlow abstraction libraryExplore the types of problems addressed by neural networksIn DetailWith this book, you'll learn how to train, evaluate and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction, you'll use a sample model to explore the details of deep learning, selecting the right layers that can solve a given problem. By the end of the course, you'll build a Bitcoin application that predicts the future price, based on historic, and freely available information.This book will also provide you with a blueprint for how to build an application that generates predictions using a deep learning model. From there, you can continue to improve our example model— either by adding more data, computing more features, or changing its architecture—continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.Style and approachThis step-by-step guide will explore common, and not so common, deep neural networks and show how these can be exploited in the real world with complex raw data. With the help of practical examples, you will learn how to implement different types of neural nets to build smart applications related to text, speech, and image data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Capelo, Luis |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Access method | Cyberlibris |
| Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88856918">https://international.scholarvox.com/netsen/book/88856918</a> |
| Electronic format type | text/html |
| Host name | |
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