Softmax Output Layer

Easy

neural-networks Google OpenAI Anthropic

Why is the softmax function typically used in the output layer of a neural network for multi-class classification?

Multiple Choice

It introduces non-linearity that helps the network learn complex decision boundaries It converts logits into a probability distribution that sums to 1 across all classes It ensures the largest logit always maps to exactly 1.0, making predictions deterministic It normalizes the outputs to have zero mean and unit variance

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Softmax Output Layer

Multiple Choice

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