Just as within the discrete case, you integrate first over the variable whose expected value you need to calculate, after which integrate over the remaining of the variables.A famous example demonstrating the appliance of...
With these gradients, we will use (stochastic) gradient descent to reduce the loss function on the given training set.You might be given a set of images and you must classify them into dogs/cats and...