Let's modernize LeNet Implement and test the following changes:

Replace average pooling with max$-$pooling.

Replace Sigmoid with ReLU.

Add one more convolution layer.

Use Table $1$ in the VGG paper $($Simonyan and Zisserman, $2014)$ to construct VGG$-19.$ Show your VGG$-19$ layer details.

$\backslash$table$[[$ConvNet Configuration$],[$A$,$A$-$LRN$,$B$,$C$,$D$,$E$],[11$ weight layers,$11$ weight lnyers$,13$ weight layers,$16$ weight layers,$16$ weight layers,$19$ weight layers$],[$input $(224224RGB$ imagc$)],[$conv$3-64,$ conv$3-64$

$LRN,$ conv$3-64$

conv$3-64,$ conv$3-64$

conv$3-64,\backslash$table$[[$cont$3-64],[$conv$3-64]],$ conv$3-64$

conv$3-64$

please send code and results please