Chapter 0.4: Multiclass Classification (I2ML)

This chapter treats the multiclass case of classification. Tasks with more than two classes preclude the application of some techniques studied in the binary scenario and require an adaptation of loss functions.

Content of this Chapter taken from the I2ML homepage

• Multiclass Classification and Losses
• Softmax Regression
• Entropy
• Kullback-Leibler Divergence

• « Chapter 0.3: Supervised Classification (I2ML)
• Chapter 0.5: Evaluation (I2ML) »