Loss Functions

All these loss functions are used in regression EXCEPT:

• Mean square error

• Absolute error loss

• Huber loss

• Binary cross entropy

Tags

CCSS.6.SP.A.2

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

Tags

CCSS.6.SP.B.5C

sparse categorical cross entropy takes the actual outputs as

• Integers

• One Hot encoding

Tags

CCSS.HSS.MD.B.6

CCSS.HSS.MD.B.7