𝗠𝘂𝗹𝘁𝗶 𝗟𝗮𝗯𝗲𝗹 𝗩𝘀 𝗠𝘂𝗹𝘁𝗶 𝗖𝗹𝗮𝘀𝘀 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

Multi Class Classification:

• It refers to a classification task with more than 2 classes.
• The output is always one of the classes in the total class available
• The outputs are always mutually exclusive
• The output layer generally used is a softmax layer

Multi-Label Classification:

• Here the input is assigned with a set of labels
• The output may contain 0 or more labels
• The outputs are not mutually exclusive
• The number of nodes in the output layer matches the number of classes generally each node will have a sigmoid activation function