Shulou(Shulou.com)06/02 Report--

Summary of artificial neural network in a word

Core: a multi-layer composite function.

Artificial neural network is essentially a multi-layer compound function:

It realizes the mapping from vector x to vector y. Due to the use of the nonlinear activation function f, this function is a nonlinear function.

The problem solved in neural network training is not a convex optimization problem. The back propagation algorithm is derived from the chain rule of derivation of multivariate compound functions.

The standard neural network is a supervised learning algorithm and a nonlinear model, which can be used not only for classification problems, but also for regression problems.

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