Loss Functions

All these loss functions are used in regression EXCEPT:

• Mean square error

• Absolute error loss

• Huber loss

• Binary cross entropy

One of the disadvantages of Mean square error loss function that it is not robust to outliers

• True

• False

gradient calculation of MAE loss function is more difficult than MSE

• True

• False

Combine both MSE and MAE in its calculation

• Cross Entropy loss function

• Adam optimizer

• SGD with momentum optimizer

• Huber loss function

sparse categorical cross entropy takes the actual outputs as

• Integers

• One Hot encoding