Softmax Regression, also known as Multinomial Logistic Regression, is an extension of logistic regression to handle multiple classes. It computes the probabilities of each class and selects the one with the highest probability as the predicted class. Softmax activation ensures that the predicted probabilities sum up to 1, providing a robust framework for multiclass classification tasks.
Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day60-logistic-regression-contd
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⌚Time Stamps⌚
00:00 - Intro
00:55 - Softmax Regression
08:20 - Training Intuition
14:53 - Prediction
19:58 - Loss Function
34:30 - Softmax Demo in SKlearn
