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	<title>3D convolution Archives &#8212; MATLAB Number ONE</title>
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	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
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	<title>3D convolution Archives &#8212; MATLAB Number ONE</title>
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		<title>Python project about fully convolutional neural network</title>
		<link>https://matlab1.com/shop/python-code/python-project-about-fully-convolutional-neural-network/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 31 Mar 2018 20:02:07 +0000</pubDate>
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					<description><![CDATA[<p>In this work, a first step towards the direct detection of “good” features using a fully convolutional neural network (CNN) is presented. By designing a convolutional light field autoencoder and comparing the results from 2D and 3D convolutions, we show that convolutions can pick up on additional information in the light field in higher dimensions. We then build a CNN [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/python-code/python-project-about-fully-convolutional-neural-network/">Python project about fully convolutional neural network</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>3D Particle Sighting Matlab Code</title>
		<link>https://matlab1.com/shop/matlab-code/3d-particle-sighting-matlab-code/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 08 Feb 2018 14:44:48 +0000</pubDate>
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					<description><![CDATA[<p>This is the Matlab program for the image processing and the 3D convolution processes. Flowchart of the image processing procedure. Each step is accompanied by its corresponding Matlab function. &#160; Flowchart for generating a convolution matrix from a 3D image matrix and a 3D Gaussian kernel. &#160; This code has a document (74 pages) which describe [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/3d-particle-sighting-matlab-code/">3D Particle Sighting Matlab Code</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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