{"id":45429,"date":"2024-04-15T21:57:54","date_gmt":"2024-04-15T21:57:54","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=45429"},"modified":"2024-04-15T21:57:54","modified_gmt":"2024-04-15T21:57:54","slug":"the-network-that-involves-backward-links-from-output-to-the-input-and-hidden-layers-is-called","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/the-network-that-involves-backward-links-from-output-to-the-input-and-hidden-layers-is-called\/","title":{"rendered":"The network that involves backward links from output to the input and hidden layers is called"},"content":{"rendered":"

[amp_mcq option1=”self organizing maps” option2=”perceptrons” option3=”recurrent neural network” option4=”multi layered perceptron” correct=”option3″]<\/p>\n

The correct answer is C. recurrent neural network.<\/p>\n

A recurrent neural network (RNN) is a type of artificial neural network that uses feedback connections. This allows it to process sequential data, such as text or audio. RNNs are often used for tasks such as machine translation, speech recognition, and natural language processing.<\/p>\n

A self-organizing map (SOM) is a type of artificial neural network that is used for dimensionality reduction and visualization. SOMs are often used for tasks such as data clustering and image recognition.<\/p>\n

A perceptron is a type of artificial neural network that is used for classification and regression tasks. Perceptrons are often used for tasks such as spam filtering and fraud detection.<\/p>\n

A multi-layered perceptron (MLP) is a type of artificial neural network that is made up of multiple layers of perceptrons. MLPs are often used for tasks such as image classification and natural language processing.<\/p>\n

In brief, the answer to the question is C. recurrent neural network. A recurrent neural network is a type of artificial neural network that uses feedback connections. This allows it to process sequential data, such as text or audio. RNNs are often used for tasks such as machine translation, speech recognition, and natural language processing.<\/p>\n","protected":false},"excerpt":{"rendered":"

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