GitHub / DanielEftekhari / numerically-efficient-softmax-algorithm
An algorithm to compute the softmax layer in neural networks using low floating-point precision arithmetic.
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PURL: pkg:github/DanielEftekhari/numerically-efficient-softmax-algorithm
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Forks: 0
Open issues: 0
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Size: 361 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: deep-learning, floating-point-arithmetic, softmax, softmax-layer
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