Given input volume: 32323. You apply 6433 filters with stride 1 , pad 1 . What is the total number of parameters in this layer (including bias)? 64204830721121792325576 QUESTION 6 What is TRUE about early stopping? Choose ALL that apply It monitors the accuracy on the testing set and stopping when it reaches a certain threshold It increases the learning rate during the training It applies a penalty to the weights of the neural network to reduce overfitting It monitors the loss on the validation or training set and stopping when it starts to increase It stops the training of the network before it overfits on the training data It is a method that reduce the number of neurons in the network to speed up the training process