DL0010 Receptive Field

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What is the receptive field in convolutional neural networks, and how do you calculate it?

Answer

In convolutional neural networks (CNNs), the receptive field of a neuron is the region of the input image that can affect that neuron’s activation. Receptive field Increases in deeper layers, allowing the network to learn hierarchical features.

Use the following iterative formula to calculate the Receptive field:

$RF_l = RF_{l-1} + (k_l - 1) \times \prod_{i=1}^{l-1} s_i$
Where:
$RF_l$ represents the receptive field size in layer $l$ . $RF_0 = 1$ for the input layer.
$k_l$ represents the kernel size of layer $l$ .
$s_i$ represents the stride of layer $i$ .