Deep Learning, Machine Learning, Self Supervised Learning, Aritificial Intelligence, Neural Networks.
Z = [z₁, z₂, . . . , z_B], we are interested in mapping them to the prototypes C = [c₁, . . . , c_K]. This mapping or the codes are represented by Q = [q₁, . . . , qB], and Q is optimized to maximize the similarity between the features and the prototypes, i.e. where H(Q) is the entropy function,