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Neural Network Zoo

Terms in this set (57)

Backfed Input Cell
Probabilistic Hidden CellInput cell
Noisy Input Cell
Hidden Cell
Probabilistic Hidden Cell
Spiking Hidden Cell
Output Cell
Match Input Output Cell
Recurrent Cell
Memory Cell
Different Memory Cell
Kernel
Convolution or Pool
Perceptron (P)
Feeds information from the green input cell to the red output cell.
Feed Forward (FF)
Feeds information from the yellow input cells, through a layer of green hidden cells, to the red output cell.

This is the simplest possible NN, with two input cells and one output cell, which can be used to model logic gates. In general, a layer never has connections and two adjacent layers are fully connected.

Trained via back-propagation, where some variation of the difference between the input and the output (like MSE or just the linear difference).
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