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).

535 Stars
175 Forks
535 Watchers
Python Language
mit License
Cost to Build
$7.4K
Market Value
$26.4K

Growth over time

7 data points  ·  2021-08-01 → 2025-07-01
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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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