tonylins/pytorch-mobilenet-v2
A PyTorch implementation of the MobileNetV2 convolutional neural network architecture with pretrained model weights.
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This repository provides a PyTorch implementation of MobileNetV2, a efficient deep learning architecture designed for mobile and embedded vision tasks. It includes model code replicating the original architecture described in the paper, pretrained weights downloadable automatically, and a training recipe achieving over 72% top-1 accuracy on ImageNet. The implementation matches the official TensorFlow version in FLOPs (~300M) and parameters (3.47M).
Frequently asked
- What is tonylins/pytorch-mobilenet-v2?
- A PyTorch implementation of the MobileNetV2 convolutional neural network architecture with pretrained model weights.
- Is pytorch-mobilenet-v2 open source?
- Yes — tonylins/pytorch-mobilenet-v2 is open source, released under the Apache-2.0 license.
- What language is pytorch-mobilenet-v2 written in?
- tonylins/pytorch-mobilenet-v2 is primarily written in Python.
- How popular is pytorch-mobilenet-v2?
- tonylins/pytorch-mobilenet-v2 has 1.4k stars on GitHub.
- Where can I find pytorch-mobilenet-v2?
- tonylins/pytorch-mobilenet-v2 is on GitHub at https://github.com/tonylins/pytorch-mobilenet-v2.