xiaolai-sqlai/mobilenetv3
A PyTorch implementation of the MobileNetV3 convolutional neural network architecture for image classification.
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This repository provides a clean PyTorch reimplementation of MobileNetV3, a convolutional neural network architecture introduced in 2019 for efficient image classification. The project includes training scripts supporting distributed multi-GPU training with mixed precision, pre-trained model weights for both Small and Large variants, and training logs. Models are trained on ImageNet (ILSVRC2012) for up to 450 epochs.
Frequently asked
- What is xiaolai-sqlai/mobilenetv3?
- A PyTorch implementation of the MobileNetV3 convolutional neural network architecture for image classification.
- Is mobilenetv3 open source?
- Yes — xiaolai-sqlai/mobilenetv3 is open source, released under the MIT license.
- What language is mobilenetv3 written in?
- xiaolai-sqlai/mobilenetv3 is primarily written in Python.
- How popular is mobilenetv3?
- xiaolai-sqlai/mobilenetv3 has 1.9k stars on GitHub.
- Where can I find mobilenetv3?
- xiaolai-sqlai/mobilenetv3 is on GitHub at https://github.com/xiaolai-sqlai/mobilenetv3.