What is the major difference between neural networks and deep neural networks?

11 November 2018 1 8K Report

What is the major difference between neural networks and deep neural network in Data Science?

It is mostly the depth of the neural network. deep NN are considered those with multiple hidden layers although there is no specific number for it. a regular NN could be one with a single layer. the difference between them in respect to their performance is that deep NN show better performance (accuracy...) in multiple tasks. in order for a shallow NN to reach performance similar to that of a deep NN it would require very large layers.

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