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Architecture of the neural network for the localization of the tear meniscus. The notation h x w x f represents the shape of the layer (h: height, w: width, f: number of feature channels). Conv2d 3x3: 2-dimensional convolution with a 3x3 kernel, L1 reg: L1 norm regularization, batchnorm: batch normalization, ReLU: rectified linear unit, maxpool: maximum pooling, FC: fully connected layer.
