Perform a training using sigmoid activation function on output layer and mean squared error

metric with learning rate eta $=0\mathrm{.}001$ for $80$ epochs on training set data. Using the plot function,

show the change of MSE loss over training and test sets in the same figure with respect to

epoch number $(20$ points$).$ Find the occurred minimum loss value and its epoch number on

each set $(4$ points$).$ Generate a confusion matrix for training and test sets using weights at the

end of the training $(16$ points$).$ Calculate the ratio of successful classifications to all patterns

inside each set using similar codes to the following $(6$ points$).$ All related codes should be

explained to take these points.

trainingSuccessRate diag$($confusionMatrixTraining$))/$sum$($sum$($confusionMatrixTraining$))$

testSuccessRate confusionMatrixTest