'Auto encoders' diaporamas de présentation

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Deep Learning

Deep Learning

Deep Learning. Early Work Why Deep Learning Stacked Auto Encoders Deep Belief Networks. Deep Learning Overview. Train networks with many layers (vs. shallow nets with just a couple of layers) Multiple layers work to build an improved feature space

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579 views • 34 slides
Deep Learning

Deep Learning

Deep Learning. Early Work Why Deep Learning Stacked Auto Encoders Deep Belief Networks. Deep Learning Overview. Train networks with many layers (vs. shallow nets with just a couple of layers) Multiple layers work to build an improved feature space

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344 views • 33 slides
In the name of god

In the name of god

In the name of god. Autoencoders Mostafa Heidarpour. Autoencoders. An auto-encoder is an artificial neural network used for learning efficient codings The aim of an auto-encoder is to learn a compressed representation (encoding) for a set of data

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311 views • 25 slides
Image Alignment / Reconstruction

Image Alignment / Reconstruction

Image Alignment / Reconstruction. Evelyn Cueva, Matthias Ehrhardt , Paul Quinn, Shaerdan Shataer , Jordan TayloR. The Problem. Object. The Problem. Object. Ideal Sinogram. The Problem. Object. Reality. The Problem. Reconstruction. Reality. Options.

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516 views • 17 slides
Professor: Ming- Shyan Wang Student: Yi-Ting Lin

Professor: Ming- Shyan Wang Student: Yi-Ting Lin

Missing-Sensor-Fault-Tolerant Control for SSSC FACTS Device With Real-Time Implementation Wei Qiao , Member, IEEE, Ganesh Kumar Venayagamoorthy , Senior Member, IEEE, and Ronald G. Harley, Fellow, IEEE IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 24, NO. 2, APRIL 2009.

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298 views • 11 slides

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