The log likelihood function is given by 1 point

To fine the parameter values of the Bernoulli Distribution, we do not maximize the likelihood function but the:1 pointlog of the likelihood function the root mean square error

The maximum likelihood estimate is a solution of the equation

the maximum likelihood estimate is a solution of the equation d angle theta \ d theta

the parameter value that maximizes the likelihood of the observed sample

Which of the following functions is differentiable?1 pointSigmoid, tanh, ReLuSigmoid, Log likelihood, ReLuLog likelihood, ReLu, tanhLog likelihood, Sigmoid, tanh