Knowledge Distillation: Principles, Algorithms, Applications
neptune.ai
Knowledge Distillation: Principles, Algorithms, Applications
This article explains knowledge distillation, including its core principles, algorithms, and real-world applications.
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Artificial Intelligence | AI on Instagram: "Knowledge distillation is a deep learning technique where a compact “student” model learns to replicate the performance of a larger, more complex “teacher” model. Introduced in the paper “Distilling the Knowledge in a Neural Network” by Hinton, Vinyals, and Dean (2015), the process goes beyond simply training the student on labeled data, which they refer to as “hard labels”. Instead, the teacher provides “soft labels,” which are its full output probabi
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Artificial Intelligence | AI on Instagram: "Knowledge distillation is a deep learning technique where a compact “student” model learns to replicate the performance of a larger, more complex “teacher” model. Introduced in the paper “Distilling the Knowledge in a Neural Network” by Hinton, Vinyals, and Dean (2015), the process goes beyond simply training the student on labeled data, which they refer to as “hard labels”. Instead, the teacher provides “soft labels,” which are its full output probabi
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