Difference between fitcnet and patternnet
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I'd like to know what exactly the difference between fitcnet and patternnet is. When is used which function instead of the other and why? I'd like to build a neural network for classification but don't know which of them I should use.
The documentation doesn't compare the two or distinguish between them. In the forum I couldn't find a satisfying answer.
Shubham Khatri on 7 Jun 2021
Edited: Shubham Khatri on 7 Jun 2021
You may use fitcnet function to build a generic classification neural network.The Patternet is a network used for specialised purposes such as pattern recognition and requires several additional parameters as input such as performance and training function.
Also, please refer to this community answer for additional support.
Hope it helps