2023-05-27 00:50:46 +01:00
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# Single-Layer Feedforward
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- *Acyclic*
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- Count output layer, no computation at input
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2023-05-31 22:21:56 +01:00
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![feedforward](../../img/feedforward.png)
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2023-05-27 00:50:46 +01:00
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# Multilayer Feedforward
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- Hidden layers
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- Extract higher-order statistics
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- Global perspective
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- Helpful with large input layer
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- Fully connected
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- Every neuron is connected to every neuron adjacent layers
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- Below is a 10-4-2 network
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2023-05-31 22:21:56 +01:00
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![multilayerfeedforward](../../img/multilayerfeedforward.png)
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2023-05-27 00:50:46 +01:00
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# Recurrent
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- At least one feedback loop
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- Below has no self-feedback
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2023-05-31 22:21:56 +01:00
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![recurrent](../../img/recurrent.png)
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![recurrentwithhn](../../img/recurrentwithhn.png)
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2023-05-27 00:50:46 +01:00
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- Above has hidden neurons
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