CODEWITHSUNDEEP
neural-networkconv-neural-networkconvolution
Yana
Yana

Reputation: 985

What is the difference between mlpconv and maxout layer?

I am reading Network in Network paper and I struggle with understanding the terms.

Upvotes: 0

Views: 238

Answers (1)

Radhika
Radhika

Reputation: 26

Multi-layer Perceptron (MLP) is a supervised learning algorithm that learns a function by training on a dataset. Ref:https://scikit-learn.org/stable/modules/neural_networks_supervised.html

In this article the authors are suggesting mlpconv as a stacked layer with MLPs using convolution NN. The maxout network on the other hand has different capabilities; it can separate concepts that lie within convex sets unlike the conventional convolutional layers which can only perform linear separation

Upvotes: 1

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