Learn IT - Books tags semantic

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Packt Publishing, 2018

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

Explore deep learning across computer vision, natural language processing (NLP), and image processing

Discover best practices for the training of deep neural...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Packt Publishing, 2018

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision

Combine the power of Python, Keras, and TensorFlow to...

HTML5 & CSS3 For The Real World

SitePoint Pty Ltd, 2015

HTML5 and CSS3 for the Real World is your perfect introduction to the latest generation of web technologies. This easy-to-follow guide covers everything you need to know to get started today. You'll master the semantic markup available in HTML5, as well as how to use CSS3 to create amazing-looking websites without...

Jump Start Foundation

SitePoint Pty Ltd, 2015

Get a Jump Start on building applications with Foundation today!

Developed by Zurb, Foundation is a hugely popular CSS framework that's making the once-arduous process of crafting responsive web designs a breeze! Foundation was the first open-source front-end framework to be responsive, the first to be semantic, as...

Modern Compiler Implementation in Java

Cambridge University Press, 2002

This textbook describes all phases of a compiler: lexical analysis, parsing, abstract syntax, semantic actions, intermediate representations, instruction selection via tree matching, dataflow analysis, graph-coloring register allocation, and runtime systems. It includes good coverage of current techniques in code generation and register...

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Apress, 2019

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification,...

Trustworthy Compilers (Quantitative Software Engineering Series)

John Wiley & Sons, 2010

The Most Complete, Real-World Guide to Compiler

Development—and the Principles of Trustworthy Compilers

Drawing on the author's over thirty years of expertise in compiler development, research, and instruction, Trustworthy Compilers introduces and analyzes the concept of trustworthy compilers and the principles...

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 2006

A very ambitious undertaking, masterfully described. To the best of my knowledge, this is the first published version of the detailed models implied by the Zachman Framework. David Hay builds the models one step at a time, describing in each increment why the new entities were added, and how they related to the rest of the model. At least as...

Developing Java Web Services: Architecting and Developing Secure Web Services Using Java

John Wiley & Sons, 2002

"I commend this book to you as your springboard to the future of how to make the Net work."
-from the Foreword by Simon Phipps, Chief Technology Evangelist, Sun Microsystems, Inc.

This hands-on developer's guide to Web services prepares you for the next level of distributed computing. The authors clearly show...

REST in Practice: Hypermedia and Systems Architecture

O'Reilly, 2010

Why don't typical enterprise projects go as smoothly as projects you develop for the Web? Does the REST architectural style really present a viable alternative for building distributed systems and enterprise-class applications?

In this insightful book, three SOA experts provide a down-to-earth explanation of REST and...

GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011

Springer, 2011

The fourth edition of the International Conference on Geospatial Semantics (GeoS 2011) was held in Brest, France, during May 12–13, 2011.

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...

Information Retrieval for Music and Motion

Springer, 2007

A general scenario that has attracted a lot of attention for multimedia information retrieval is based on the query-by-example paradigm: retrieve all documents from a database containing parts or aspects similar to a given data fragment. However, multimedia objects, even though they are similar from a structural or semantic viewpoint, often reveal...

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