Figure X: The sparse training algorithm developed has three stages: (1) Determine the importance of each layer. (2) Remove the smallest, unimportant weights. (3) Grow new weights proportional to the importance of each layers.
Making deep learning accessible.
Figure X: The sparse training algorithm developed has three stages: (1) Determine the importance of each layer. (2) Remove the smallest, unimportant weights. (3) Grow new weights proportional to the importance of each layers.
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