Convolutional neural networks (IMAGE)

International Centre for Radio Astronomy Research

Convolutional neural networks

Caption

Being able to distinguish a lenticular galaxy from the other types can be difficult for human eyes, but the convolutional layers look for features we can't see. Also, a CNN never tires, and if the image is flipped or rotated, that won't cause the CNN to make a mistake.

Credit

Mitchell Cavanagh/ICRAR

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