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An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.
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In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. [1] It is part of the families of probabilistic graphical models and variational Bayesian methods .
64 MB 14 6 12 September 10, 2013 [23] Arduino Yún is the combination of a classic Arduino Leonardo (based on the ATmega32U4 processor) with a Wi-Fi system on a chip (SoC) running Linino, a MIPS Linux based on OpenWrt. Arduino Leonardo [24] ATmega32U4 [22] 16 MHz Arduino 68.6 mm × 53.3 mm [ 2.7 in × 2.1 in ] USB 32U4 [22] 5 V 32 1 2.5 20 7 12
ATmega328 is commonly used in many projects and autonomous systems where a simple, low-powered, low-cost micro-controller is needed. Perhaps the most common implementation of this chip is on the popular Arduino development platform, namely the Arduino Uno, Arduino Pro Mini [4] and Arduino Nano models.
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Arduino (/ ɑː r ˈ d w iː n oʊ /) is an Italian open-source hardware and software company, project, and user community that designs and manufactures single-board microcontrollers and microcontroller kits for building digital devices.
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