Channel
Convolution Operation
Convolutional Layer
Feature Map
Kernel (Filter)
Padding (Same, Valid)
Receptive Field
1x1 Convolution
Depthwise Convolution
Dilated (Atrous) Convolution
Separable Convolution
Transposed Convolution
Average Pooling
Global Average Pooling
Max Pooling
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7.2. Convolutions for Images — defines the feature map as a convolutional layer's output (Dive into Deep Learning) Art… 2 terms
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A guide to convolution arithmetic for deep learning (Dumoulin & Visin) — how kernel, stride and padding set feature-map size Pap… 2 terms
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