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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 ...
Transmission allows the assigning of priorities to torrents and to files within torrents, thus potentially influencing which files download first. It supports the Magnet URI scheme [9] and encrypted connections. It allows torrent-file creation and peer exchange compatible with Vuze and μTorrent.
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 ]
BitTorrent downloading is considered to be faster than HTTP ("direct downloading") and FTP due to the lack of a central server that could limit bandwidth. [ 3 ] [ 4 ] BitTorrent is one of the most common protocols for transferring large files, such as digital video files containing TV shows and video clips, or digital audio files.
Before creating WebTorrent, the developers first created PeerCDN, a peer-to-peer content delivery network which was bought by Yahoo! in 2013.. The idea behind WebTorrent is to make a BitTorrent-like protocol that works on the web browser, maintaining as much compatibility with BitTorrent as possible. [2]
Manager Web browser integration Resuming Download acceleration URLs per file Mirror search Auto dial/hangup Categorized downloads Cookies import Speed limit File browser ZIP preview
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
In file sharing, super-seeding is an algorithm developed by John Hoffman for the BitTorrent communications protocol that helps downloaders become uploaders more quickly, but it introduces the danger of total seeding failure if there is only one downloader.