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Softmax

Softmax is a mathematical function that converts a vector of real numbers into a probability distribution. It is commonly used in machine learning and neural networks to classify multiple mutually exclusive categories.

Part of Speech:

• Noun: The softmax function.
• Verb: To apply the softmax function to a vector.
• Adjective: Describing something related to the softmax function.

Senses/Usages:

Sense 1 - Noun:

The softmax is a mathematical function that converts a vector of real numbers into a probability distribution.

Example: In neural networks, the output layer often utilizes the softmax to produce class probabilities.

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Sense 2 - Verb:

To softmax a vector means to apply the softmax function to it, resulting in a probability distribution.

Example: Before making predictions, we need to softmax the output of our network.

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Sense 3 - Adjective:

Softmax can be used as an adjective to describe something related to the softmax function.

Example: The softmax layer in our model ensures the outputs are normalized probabilities.

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