I am wondering about the differences. Based on my understanding, MLP is one kind of neural networks, where the activation function is sigmoid, and error term is cross-entropy(logistics) error. Looking for help, thanks!
Solved – Difference between MLP(Multi-layer Perceptron) and Neural Networks
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Best Answer
You are right, MLP is one kind of neural network.
There are several kinds of NN, you can have a NN based on Radial Basis Function with a Soft gating strategy, for example. You can use a committee machine strategy to form a NN...