Basic_CNNs_TensorFlow2

Basic_CNNs_TensorFlow2

calmiLovesAI

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

533 Stars
174 Forks
533 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$7.5K
Market Value
$17.8K

Growth over time

8 data points  ·  2021-08-01 → 2026-04-01
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What is the calmiLovesAI/Basic_CNNs_TensorFlow2 GitHub project? Description: "A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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