Please draw the Neural Network, including all the layers and activation functions according to the below code. I am including an example how the drawing should be

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# Define the neural network architecture

model $=$ Sequential$()$

model.add$($Dense$(64,$ input$\_$dim$=$X$\_$train.shape$[1],$ activation$=$"relu"$))$

model.add$($Dropout$(0\mathrm{.}1))$

model.add$($Dense$(32,$ activation$=$'relu'$))$

model.add$($Dropout$(0\mathrm{.}1))$

model.add$($Dense$(1,$ activation$=$'sigmoid'$))$

#Compile the model

custom$\_$optimizer $=$ Adam$($learning$\_$rate$=0\mathrm{.}1)$

model.compile$($optimizer$=$custom$\_$optimizer, loss$=$'binary$\_$crossentropy,