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	<title>Deep Learning Archives &#8212; MATLAB Number ONE</title>
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	<title>Deep Learning Archives &#8212; MATLAB Number ONE</title>
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		<title>Convolutional neural network in MATLAB</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 03 Aug 2020 04:28:19 +0000</pubDate>
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					<description><![CDATA[<p>The convolutional neural network hereinafter referred to as CNN, refers to a type of artificial neural network that has the main features of a neurocognitive network. CNN&#8217;s structure uses three main techniques: weight sharing, local receptor fields, and spatial downsampling. This network is somewhat similar to the biological vision system model in which raw data [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/convolutional-neural-network-in-matlab/">Convolutional neural network in MATLAB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Video Tutorial for Deep Belief Network in MATLAB</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sun, 02 Aug 2020 17:37:58 +0000</pubDate>
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					<description><![CDATA[<p>One of the disadvantages of common neural networks such as MLP is that if we increase the number of hidden layer neurons or the number of neural network layers, two main problems arise: Low training speed Stuck in the local minimum &#160; One of the alternative networks to solve these two problems is deep belief [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/video-tutorial-for-deep-belief-network-in-matlab/">Video Tutorial for Deep Belief Network in MATLAB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Implementation of Artificial Neural Networks in MATLAB</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 01 Aug 2020 07:03:01 +0000</pubDate>
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					<description><![CDATA[<p>This video tutorial is the second part of the complete course of deep learning in MATLAB. We recommend you to order the complete course to learn completely. &#160; &#160; Headlines:  Neural network programming in MATLAB software Preprocessing and post-processing (Mapminamx, Mapstd, Processpca, Fixunknowns, and removeconstraints) Normalize input data Correction of unmissed data unmissed values Neural [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/implementation-of-artificial-neural-networks-in-matlab/">Implementation of Artificial Neural Networks in MATLAB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Deep learning in MATLAB</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 30 Jul 2020 10:15:31 +0000</pubDate>
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					<description><![CDATA[<p>This training video is the fourth part of the complete course of deep learning in MATLAB. This section is dedicated to implementing and programming deep learning models in MATLAB. In 2020, MATLAB renamed its neural network toolbox to Deep Learning. This change shows MATLAB&#8217;s high motivation to provide a strong toolkit for its users. Deep [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/deep-learning-in-matlab/">Deep learning in MATLAB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Basics of deep learning</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 30 Jul 2020 06:35:40 +0000</pubDate>
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					<description><![CDATA[<p>This educational video is the third part of the complete course of deep learning in MATLAB. In this educational video, we will introduce you to the basics of deep learning so that you can gain the necessary knowledge to work in the field of deep learning and be able to implement your models in different [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/basics-of-deep-learning/">Basics of deep learning</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Basics of artificial neural network</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 30 Jul 2020 06:15:46 +0000</pubDate>
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					<description><![CDATA[<p>This video tutorial is the first part of the complete course of deep learning in MATLAB. We recommend you to order the complete course to learn completely. &#160; Heading: Introduction Artificial Intelligence (AI) Definition of artificial neural network Types of artificial neural networks Applications of artificial neural network General applications of ANNs Pattern recognition Save [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/basics-of-artificial-neural-network/">Basics of artificial neural network</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Complete Course of Deep Learning in MATLAB</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 29 Jul 2020 06:37:02 +0000</pubDate>
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					<description><![CDATA[<p>One of the most attractive and widely used fields in the last century is artificial intelligence. There are now many applications for artificial intelligence in the world around us, such as driverless cars, voice assistants, online translators, intelligent robots, diagnostic software, intelligent data mining algorithms, face recognition, speech robots, and more. Artificial intelligence is a [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-video/learning-package-of-deep-learning-in-matlab/">Complete Course of Deep Learning in MATLAB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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