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Deep Learning, End Term

May 2024 term, 1 Sept 2024, Set QDB3

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Figure from the original question paper Consider a dataset with 150 samples and a batch size of 15. If each minibatch iteration contributes an average loss of 0.4, what will be the total loss after 15 epochs? If you use hierarchical softmax with a binary tree where each leaf node represents a word in the vocabulary, and the vocabulary size (*V* ) is 16000, how many binary classifiers are needed?