Question: or a newsfeed classification system with 4 6 topics, the following two models are tried. 1 0 , 0 0 0 unique words are used

or a newsfeed classification system with 46 topics, the following two models are tried.
10,000 unique words are used as input in both models. 20% of the training data is used
as the validation set, partial_x_train. What is the number of trainable parameters in the
input-hidden layer and hidden-output layer in Model 2? Which of the networks will
give lower validation error and why?

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