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These figures show the variations in number of feedback received by classes with varying T={5,10,20,40,60,100} while training TM: (D=MNIST, M=10, N=100, l=1568, s=5, tau =50,000). For very small or large T, the accuracy deteriorates all through the 4 epochs, indicates an existence of optimum range of T values for a dataset. D- name of the dataset, M - the number of classes, N - the number of clauses per class, l - the number of literals(equivalent to automata) per clause, s - hyperparameter, T - hyperparameter and tau - the number of samples).
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