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A NORM node refers to an individual node taking part in a NORM session. Each node has a unique identifier. When a node transmits a NORM message, this identifier is noted as the source_id. A NORM instance refers to an individual node in the context of a continuous segment of a NORM session. When a node joins a NORM session, it has a unique node ...
For instance, a popular choice of feature scaling method is min-max normalization, where each feature is transformed to have the same range (typically [,] or [,]). This solves the problem of different features having vastly different scales, for example if one feature is measured in kilometers and another in nanometers.
Component Object Model (COM) is a binary-interface technology for software components from Microsoft that enables using objects in a language-neutral way between different programming languages, programming contexts, processes and machines.
Distributed Component Object Model (DCOM) is a proprietary Microsoft technology for communication between software components on networked computers.DCOM, which originally was called "Network OLE", extends Microsoft's COM, and provides the communication substrate under Microsoft's COM+ application server infrastructure.
Windows Presentation Foundation (WPF) is a free and open-source user interface framework for Windows-based desktop applications. WPF applications are based in .NET , and are primarily developed using C# and XAML .
The explanation made in the original paper [1] was that batch norm works by reducing internal covariate shift, but this has been challenged by more recent work. One experiment [2] trained a VGG-16 network [5] under 3 different training regimes: standard (no batch norm), batch norm, and batch norm with noise added to each layer during training ...
In this layer, the network detects edges, textures, and patterns. The outputs from this layer are then fed into a fully-connected layer for further processing. See also: CNN model. The Pooling layer [5] is used to reduce the size of data input. The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional ...
Providing a static method that returns a reference to the instance; The instance is usually stored as a private static variable; the instance is created when the variable is initialized, at some point before when the static method is first called. This C++23 implementation is based on the pre-C++98 implementation in the book [citation needed].