updation

When it comes to parameter updation in the gradient descent algorithm, the value of the hyperparameter γ, which denotes the step size (or learning rate) plays a key role. lagu nicky astria lentera cinta If γ is too low, the chance of reaching an optimal solution will increase. megawin188 promo However, the convergence rate, i e , how fast the minimum is reached, will be decreased drastically