Keras_model_compression

Keras_model_compression

Irtza

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

62 Stars
5 Forks
62 Watchers
Jupyter Notebook Language
Cost to Build
$30.9K
Market Value
$43.4K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the Irtza/Keras_model_compression GitHub project? Description: "Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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