$3)$ In another notebook, using the architecture you built in implementation $2$

and the best performing activation function, re$-$train the model by adding $2$ new parameters,

learning rate and momentum. The range of the values you should try $($between $5$ and $10$ trials$)$

is:

Learning rate: $0<$ $1$

Momentum: $0<$ $<1$

Print on the code, for each combination, the corresponding accuracy. What are the optimum

learning rate and momentum values?