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Diagnostics project:
Super-resolution project:
Deep Learning course
use evaluation metrics that are sensitive to behavior across many scales
plot power spectra of the target-prediction pairs
adjust kernel size so frame around prediction maps goes away
finish mini lit review -->
for reference: steve brunton --> stats and ML videos on youtube (look at his probability and stats)
The text was updated successfully, but these errors were encountered:
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Diagnostics project:
Super-resolution project:
Deep Learning course
use evaluation metrics that are sensitive to behavior across many scales
plot power spectra of the target-prediction pairs
adjust kernel size so frame around prediction maps goes away
finish mini lit review -->
for reference: steve brunton --> stats and ML videos on youtube (look at his probability and stats)
The text was updated successfully, but these errors were encountered: