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A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition , and won the ImageNet Large Scale Visual Recognition Challenge ( ILSVRC ) of that year.
Framework for Integrated Test (Fit), is an open-source (GNU GPL v2 [1]) tool for automated customer tests. It integrates the work of customers, analysts, testers, and developers. It integrates the work of customers, analysts, testers, and developers.
Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.
Tricentis Tosca is a software testing tool that is used to automate end-to-end testing for software applications.It is developed by Tricentis.. Tricentis Tosca combines multiple aspects of software testing (test case design, test automation, test data design and generation, and analytics) to test GUIs and APIs from a business perspective. [1]
Inception [1] is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed Inception v1).). The series was historically important as an early CNN that separates the stem (data ingest), body (data processing), and head (prediction), an architectural design that persists in all modern
Test and Training Enabling Architecture (TENA) is an architecture designed to bring interoperability to United States Department of Defense test and training systems. TENA is designed to promote integrated testing and simulation-based acquisition through the use of a large-scale, distributed, real-time synthetic environment, which integrates testing, training, simulation, and high-performance ...
Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor. [1] Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. [2] [3] It cannot find all bugs.
Manual testing is the process of manually testing software for defects. It requires a tester to play the role of an end user where by they use most of the application's features to ensure correct behaviour.