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Difference between Different Neural Networks

Difference between Different Neural Networks

Autoencoder is a simple 3-layer neural network where output units are directly connected back to input units. E.g. in a network like this:
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How to read research papers

How to read research papers

A summary from this video:
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Tools for Researching

Tools for Researching

As a research, learning to track papers and keeping ourselves updated is definitely necessary. Tens of papers needed to be scanned every…
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Unsupervised segmentation tools

Unsupervised segmentation tools

Mean-shift based segmentation:
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Companies that Computer Vision related Engineers can work for

Companies that Computer Vision related Engineers can work for

Today I was make arrangement to attend CVPR 2018 conference hold in Salt Lake city, Utah, USA, and the following companies are from the…
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GANs, cGANs, AE, AAE, AVE, CAAE, CAVE

GANs, cGANs, AE, AAE, AVE, CAAE, CAVE

The difference between each other.
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Computer Vision Application

Computer Vision Application

All categories are benefiting from deep learning. And deep learning is continuingly creating beyond of imagination applications.
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Notes for Image Denoise

Notes for Image Denoise

A survey paper from 1992–2002: To summarize, mainly from the spatial and fourier domain to wavelets domain, and use the probabilistic…
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Graph-based Computer Vision Algorithm

Graph-based Computer Vision Algorithm

In computer vision, an image is usually modeled as a graph wherein each pixel or superpixel is a vertex and each vertex is connected to…
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Gaussian Filtering for Computational Photography

Gaussian Filtering for Computational Photography

Ways to do approximation algorithms
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