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products:ict:ai:neural_networks [2022/04/16 22:48] – wikiadminproducts:ict:ai:neural_networks [2022/04/26 14:19] (current) – external edit 127.0.0.1
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 +[[https://www.ibm.com/cloud/learn/neural-networks| Neural Networks ]]
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 +Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning.
 +What are neural networks?
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 +Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.
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 +Artificial neural networks (ANNs) are comprised of a node layers, containing an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, connects to another and has an associated weight and threshold. If the output of any individual node is above the specified threshold value, that node is activated, sending data to the next layer of the network. Otherwise, no data is passed along to the next layer of the network.
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 +https://www.youtube.com/watch?v=bfmFfD2RIcg
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 +Neural Network In 5 Minutes
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 +https://en.wikipedia.org/wiki/Artificial_neural_network
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 +Artificial neural network
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 +https://www.javatpoint.com/artificial-neural-network
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 +Artificial Neural Network Tutorial
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 +https://www.techopedia.com/definition/5967/artificial-neural-network-ann
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 +Artificial Neural Network (ANN)
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 +https://www.techtarget.com/searchenterpriseai/definition/neural-network
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 +What is a neural network? Explanation and examples 
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 +https://www.analyticsvidhya.com/blog/2021/05/beginners-guide-to-artificial-neural-network/
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 +Beginners Guide to Artificial Neural Network
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 +https://en.wikipedia.org/wiki/Convolutional_neural_network
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 +Convolutional Neural Network
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 +https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53
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 +A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way
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 +https://www.ibm.com/cloud/learn/convolutional-neural-networks
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 + Convolutional Neural Networks 
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 +https://www.mathworks.com/discovery/convolutional-neural-network-matlab.html
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 +What is a Convolutional Neural Network?
 +3 things you need to know
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 +A convolutional neural network (CNN or ConvNet), is a network architecture for deep learning which learns directly from data, eliminating the need for manual feature extraction.
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 +CNNs are particularly useful for finding patterns in images to recognize objects, faces, and scenes. They can also be quite effective for classifying non-image data such as audio, time series, and signal data.
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 +Applications that call for object recognition and computer vision — such as self-driving vehicles and face-recognition applications — rely heavily on CNNs.
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 +https://cs231n.github.io/convolutional-networks/
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 +CS231n Convolutional Neural Networks for Visual Recognition
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 +https://www.youtube.com/watch?v=zfiSAzpy9NM
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 +Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
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 +https://www.youtube.com/watch?v=YRhxdVk_sIs
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 +Convolutional Neural Networks (CNNs) explained
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 +https://www.youtube.com/watch?v=FmpDIaiMIeA
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 +How Convolutional Neural Networks work
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 +https://www.analyticsvidhya.com/blog/2021/05/convolutional-neural-networks-cnn/
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 +Introduction to Convolutional Neural Networks (CNN)
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 +https://bdtechtalks.com/2020/01/06/convolutional-neural-networks-cnn-convnets/
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 +What are convolutional neural networks (CNN)?
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