A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
-
Updated
Nov 24, 2021 - Python
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Retrain a MobileNet V1 or V2 model and use it in the browser with TensorFlow.js
轻量化卷积神经网络实现(SqueezeNet/MobileNet/ShuffleNet/MnasNet)
This is a tensorflow implementaion of MobileNet-v1, you can use your own dataset to train a new classifier.
An Implementation of Faster RCNN with Study for Region Sampling
Add a description, image, and links to the mobilenet-v1 topic page so that developers can more easily learn about it.
To associate your repository with the mobilenet-v1 topic, visit your repo's landing page and select "manage topics."