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Batch normalization (also known as batch norm) is a method used to make training of artificial neural networks faster and more stable through normalization of the layers' inputs by re-centering and re-scaling. It was proposed by Sergey Ioffe and Christian Szegedy in 2015.
This is a list of the instructions that make up the Java bytecode, an abstract machine language that is ultimately executed by the Java virtual machine. [1] The Java bytecode is generated from languages running on the Java Platform, most notably the Java programming language.
A Doclet is written in Java and uses the Doclet API, The StandardDoclet included with Javadoc generates API documentation as frame-based HTML files. Other Doclets are available on the web [citation needed], often for free. These can be used to: Create other types of documentation (non-API) Output to a format other than HTML; such as PDF
Class methods – belong to the class as a whole and have access to only class variables and inputs from the procedure call; Instance methods – belong to individual objects, and have access to instance variables for the specific object they are called on, inputs, and class variables
Actual implementation happens outside Java code, and such methods have no body. strictfp - Declares strict conformance to IEEE 754 in carrying out floating-point operations. synchronized - Declares that a thread executing this method must acquire monitor. For synchronized methods the monitor is the class instance or java.lang.Class if the ...
Reducing the cost of software maintenance is the most often cited reason for following coding conventions. In the introductory section on code conventions for the Java programming language, Sun Microsystems offers the following reasoning: [2]
ISO/IEC/IEEE 29119 Software and systems engineering -- Software testing [1] is a series of five international standards for software testing.First developed in 2007 [2] and released in 2013, the standard "defines vocabulary, processes, documentation, techniques, and a process assessment model for testing that can be used within any software development lifecycle."
Adaptive optimizing is a method in computer science that performs dynamic recompilation of parts of a program based on the current execution profile. With a simple implementation, an adaptive optimizer may simply make a trade-off between just-in-time compiling and interpreting instructions.