Question $4[2$ pts$]$: The following Keras codes show a deep learning network. Please draw the network structure from input to the output to explicitly show network components and parameters:

$1.$ Please draw diagram of the designed network $[0\mathrm{.}5$ pt $]$

$2.$ Show input, output sizes, and number of weight values of each convolution layer $[0\mathrm{.}5$ pt$\backslash (]\backslash ).$

$3.$ Show input and output size of each pooling layer $[0\mathrm{.}5$ pt$].$

$4.$ Show input, output sizes, and number of weight values of each dense layer $[0\mathrm{.}5$ pt$].$

$```$

network $=$ Sequential$()$

model.add$($Conv$2$D$(32,(3,3),$activation$=$"relu",input$\_$shape$=$c$(28,28,3))$

model.add$($MaxPooling$2$D$((2,2))$

model.add$($Conv$2$D$(64,(3,3),$activation$=$"relu"$))$

model.add$($MaxPooling$2$D$((2,2))$

model.add$($Flatten$())$

model.add$($Dense$(64,$activation$=$'relu'$))$

model.add$($Dense$(10,$activation$=$'softmax'$))$

$```$