We designed a MLNN in Python. How many parameters are in the first hidden layer of this NN? Remember to count for bias. model_a=Sequential() model_a.add(Dense(input_dim=D4, units=300, activation='tanh')) model_a.add(Dense(units=10, activation='tanh')) model_a.add(Dense(units=len(classes), activation='softmax')) model_a.summary() Question 2 In the previous question, what is the number of parameters in the second hidden layer?

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