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DSF/ISO/IEC 15909-1/FDAMD 1 - SYMMETRIC NETS Organization: DS
Description: This International Standard defines a Petri net technique, called High-level Petri Nets, including its syntax and semantics. It provides a reference definition that can be used both within and between organisations, to ensure a common understanding of the technique and of the specifications written using the technique.
DS/ISO/IEC 15909-1 - SOFTWARE AND SYSTEM ENGINEERING - HIGH-LEVEL PETRI NETS - PART 1: CONCEPTS, DEFINITIONS AND GRAPHICAL NOTATION Organization: DS
Date: 2008-09-15
Description: ISO/IEC 15909-1:2004 defines a semi-graphical modelling language for the specification, design and analysis of discrete event systems, including software and in particular distributed and parallel systems where concurrency is an important characteristic. The technique, High-level Petri Nets, is mathematically defined and may thus be used to provide unambiguous specifications and descriptions of applications.
DS/ISO/IEC 15909-1/AMD. 1 - SOFTWARE AND SYSTEM ENGINEERING - HIGH-LEVEL PETRI NETS - PART 1: CONCEPTS, DEFINITIONS AND GRAPHICAL NOTATION Organization: DS
Date: 2010-06-21
Description: ISO/IEC 15909-1:2004 defines a semi-graphical modelling language for the specification, design and analysis of discrete event systems, including software and in particular distributed and parallel systems where concurrency is an important characteristic. The technique, High-level Petri Nets, is mathematically defined and may thus be used to provide unambiguous specifications and descriptions of applications.
BRE BR382 - MANAGING AND EXPLOITING YOUR KNOWLEDGE ASSETS - D BLOOMFIELD Organization: BRE
Date: 2000-01-01
Description: Encoding business processes and decision paths in company or project Intra/Extra-nets can provide additional advantages in facilitating Quality Assurance and recording experience for future re-use.
PACKT - JAVA DEEP LEARNING ESSENT - JAVA DEEP LEARNING ESSENTIALS Organization: PACKT
Date: 2016-05-30
Description: What You Will Learn Get a practical deep dive into machine learning and deep learning algorithms Implement machine learning algorithms related to deep learning Explore neural networks using some of the most popular Deep Learning frameworks Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms Discover more deep learning algorithms with Dropout and Convolutional Neural Networks Gain an insight into the deep learning library DL4J and its practical uses Get to know device strategies to use deep learning algorithms and libraries in the real world Explore deep learning further with Theano and Caffe In Detail AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago.

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