Extended Data Fig. 6: Layers of the feedforward CNN, adapted from 2. | Nature Machine Intelligence

Extended Data Fig. 6: Layers of the feedforward CNN, adapted from 2.

From: Neural circuit policies enabling auditable autonomy

Extended Data Fig. 6

Conv2D refers to a convolutional layer, F to the number of filters, K to the kernel size, S to the strides, U to the number of units in a fully-connected layer. The values of the dropout-rates δ1,δ2, and δ3 were optimised on the passive benchmark and reported in Extended Data Figure 3.

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