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Coding Exercise on Miscellaneous Methods

Explore how to apply the MMD-critic algorithm to identify prototype criticisms in image classification data. Learn to compute witness functions and select data points that reveal model weaknesses, enhancing your ability to interpret neural network decisions.

Problem statement: Criticisms

In addition to selecting prototypes P={P1,P2,...,Pm}P = \{P_1, P_2, ..., P_m \} for a data distribution D={X1,X2,..,Xn ...