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?