The softmax activation function is crucial in machine learning and neural networks for multi-class classification tasks. This video focuses on how the softmax function converts raw output scores of a neural network into probabilities, facilitating model prediction interpretation. The workbook offers a clear understanding of the softmax function’s mathematical basis and how it helps models make confident, probabilistic predictions across multiple categories, and rationalizes why it’s commonly used in the output layer of neural networks.
The workbook pdf-
