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The shape of the tensor (input/output) is described on the right side of each layer box. The global average pooling layer and four fully connected network (dense) layers were connected after the Inception V3 backbone CNN (convolutional neural network) architecture. The four dense layers used ReLu (rectified linear unit) as the activation function.
