Assertion: neural network's layer | /r/CapableOf | learn at abstract level
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Source sentences:
text: In this architecture, we can think of the convolutional and pooling layers as learning about local spatial structure in the input training image, while the later, fully-connected layer learns at a more abstract level, integrating global information from across the entire image.