Common Activation Functions in Neural Networks
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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?

<p>Feed-back neural networks have signals traveling in both directions due to loops, while feed-forward networks have signals flowing only in one direction.</p> Signup and view all the answers

What is the advantage of using a multi-layer neural network over a single-layer network?

<p>Multi-layer networks can solve more complicated problems compared to single-layer networks.</p> Signup and view all the answers

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