Fig. 4.
Classifier architecture (see Sect. 3.6 for a detailed description). The neural network is composed of a first convolution layer, a pooling layer and five inception blocks followed by two fully connected layers and a softmax layer. The size and the number of feature maps are indicated for each layer. Further details can be found in Table A.1.
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