For the next four problems, you will consider using Tensorflow to implement the above neural network model. Suppose the training data is pre$-$processed and stored as

$($predictor variables$)$ and

$($labels$).$ All the needed packages and functions have been imported, and are ready to use.

Which of the following code command can be used to create the $3-$layer neural network model shown in the figure?

Group of answer choices

model $=$ Sequential$([$

Dense$(2,$ activation$=$'relu', input$\_$shape$=(3,)),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(4,$ activation$=$'linear'$)])$

model $=$ Sequential$([$

Dense$(2,$ activation$=$'relu',input$\_$shape$=(3,)),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(4,$ activation$=$'linear'$)])$

model $=$ Sequential$([$

Dense$(3,$ activation$=$'relu',input$\_$shape$=(3,)),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(4,$ activation$=$'linear'$)])$

model $=$ Sequential$([$

Dense$(2,$ activation$=$'relu'$),$

Dense$(2,$ activation$=$'relu'$),$

Dense$(4)])$