Assertion: neural network's parameter | /r/HasProperty | optimized
Facets:
Source sentences:
text: this essentially means that all the weights and parameters of the ConvNet have now been optimized to correctly classify images from the training set.
text: W^\top X$, and conceptually, since we can now think of the bias as just another weight, and therefore just one more parameter that needs to be optimized.