Questions and Answers
What is the main difference between feed-forward neural networks and feedback (recurrent) neural networks?
Feed-forward neural networks have connections only in one direction, while feedback neural networks have connections that loop back.
Explain the concept of a multi-layer network in the context of neural networks.
A multi-layer network has one or more layers of hidden neurons between the input and output layers, allowing for more complex problem-solving capabilities.
What type of network architecture does not have a hierarchical arrangement of connections?
An associative network does not have a hierarchical arrangement of connections.
How do feed-back (recurrent) neural networks differ from feed-forward neural networks in terms of signal flow?
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What is the advantage of using a multi-layer neural network over a single-layer network?
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