Correct Answer : 2
Explanation : The activation functions are basically divided into two types: Linear Activation Function and Non-linear Activation Function
Correct Answer : Two
Explanation : Pooling layers provide an approach to down sampling feature maps by summarizing the presence of features in patches of the feature map. Two common pooling methods are average pooling and max pooling that summarize the average presence of a feature and the most activated presence of a feature respectively.
Correct Answer : 3
Explanation : * MSELoss stands for Mean Squared Error, which is used to create a criterion the measures the mean squared error between each element in an input x and target y. * CTCLoss stands for Connectionist Temporal Classification Loss, which is used to calculate the loss between continuous time series and target sequence. * BCELoss stands for Binary Cross Entropy is used to create a criterion to measures the Binary Cross Entropy between the target and the output.
Correct Answer : Mean Squared Error
Explanation : MSE stands for Mean Squared Error, which is used to create a criterion the measures the mean squared error between each element in an input x and target y.
