Assume that the output of the last pooling layer in a CNN is a 110 by 131. This output then flattens and enters the fully connected layer that has 44 neurons in the first hidden layer and 10 neurons in the second hidden layer and 4 neurons in the output layer. Assuming that bias is adopted in this fully connected layer, how many parameters exist to be trained in this layer?