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Definitions from the WebSoftmaxSoftmax 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:
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. Related Products: Find books on softmax on Amazon. 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. Related Products: Discover books and resources about the softmax function on Amazon. 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. Related Products: Explore useful books and tools for working with softmax in neural networks on Amazon.  
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