Hyperopt-Keras-CNN-CIFAR-100

Hyperopt-Keras-CNN-CIFAR-100

guillaume-chevalier

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

keras
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99 Stars
72 Forks
99 Watchers
Python Language
other License
Cost to Build
$12.13M
Market Value
$22.12M
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Growth over time

1 data points  ·  2021-08-06 → 2021-08-06
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What is the guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100 GitHub project? Description: "Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100.git

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[email protected]:guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100.git

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Download master.zip

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