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Cross-Entropy Loss

Cross-entropy loss measures how well predicted probabilities match the true labels by penalizing confident wrong predictions heavily.

#cross-entropy#binary cross-entropy#softmax+11
📚TheoryAdvanced

GAN Theory & Training Dynamics

GANs frame learning as a two-player game where a generator tries to fool a discriminator, and the discriminator tries to detect fakes.

#gan
Advanced
Filtering by:
#binary cross-entropy
#generator
#discriminator
+12
📚TheoryIntermediate

Lottery Ticket Hypothesis

The Lottery Ticket Hypothesis (LTH) says that inside a large dense neural network there exist small sparse subnetworks that, when trained in isolation from their original initialization, can reach comparable accuracy to the full model.

#lottery ticket hypothesis#magnitude pruning#sparsity+12
📚TheoryIntermediate

Cross-Entropy

Cross-entropy measures how well a proposed distribution Q predicts outcomes actually generated by a true distribution P.

#cross-entropy#entropy#kl divergence+12