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R-CNN architecture Region-based Convolutional Neural Networks (R-CNN) are a family of machine learning models for computer vision , and specifically object detection and localization. [ 1 ] The original goal of R-CNN was to take an input image and produce a set of bounding boxes as output, where each bounding box contains an object and also the ...
Unlike a standalone installer, App Installer refuses to install an app without a valid digital certificate. [5] If the certificate is valid, the app displays a blue installation progress bar. It shows the user a button to launch the app once it is fully installed. App Installer is physically more flexible than Windows Installer.
Windows Installer (msiexec.exe, previously known as Microsoft Installer, [3] codename Darwin) [4] [5] is a software component and application programming interface (API) of Microsoft Windows used for the installation, maintenance, and removal of software.
Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. [5] The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication. [6]
WiX is a toolset designed to build Windows Installer (.msi) packages using the command line. [4] It comes with the following tools: [5] [4] [7] Candle: compiles source files into object files; Light: combines object files into a .msi file; Lit: creates libraries that can be linked by Light.exe; Dark: decompiles a .msi file into WiX code
A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [ 1 ]
RCNN is a two- stage object detection algorithm. the first stage is to identifies a subset of regions in an image that might contain an object to be detected while the second stage is to classifies the object in each region
Apple released Safari 5.1 for both Windows and Mac on July 20, 2011, for Mac OS X 10.7 Lion; it was faster than Safari 5.0, and included the new Reading List feature. The company simultaneously announced Safari 5.0.6 in late June 2010 for Mac OS X 10.5 Leopard, though the new functions were excluded from Leopard users.