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?

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Question 1
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=4, 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?
Transcribed Image Text:Question 1 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=4, 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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