15 lines
482 B
Markdown
15 lines
482 B
Markdown
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- Feed-forward
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- Single hidden layer can learn any function
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- Universal approximation theorem
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- Each hidden layer can operate as a different feature extraction layer
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- Lots of weights to learn
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- Backpropagation is supervised
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![[mlp-arch.png]]
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# Universal Approximation Theory
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A finite feed-forward MLP with 1 hidden layer can in theory approximate any mathematical function
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- In practice not trainable with BP
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![[activation-function.png]]
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![[mlp-arch-diagram.png]]
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