pytorch/vision

NASNet Model

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#321 创建于 2017年11月3日

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 (15 评论) (0 反应) (0 负责人)Python (15,050 star) (6,858 fork)batch import
enhancementhelp wanted

描述

Recently the Google Brain Team released a fantastic CNN model, NASNet, in TF-slim, which achieved the state-of-the-art Top-1 Accuracy on ImageNet by 82.7 %. I want to know that the PyTorch team has any plan for implement or porting this model into the PyTorch Offifcial Models (i.e., torchvision models)?

贡献者指南

技术栈
python
领域
machine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
5
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
over 1 week
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
PythonPyTorchCNN architectures
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
20
研究方向
Review the comments in the issue to understand the community's response. Investigate the NASNet paper and existing TensorFlow implementation in TF slim. Check if any unofficial PyTorch implementations exist. Propose a roadmap for adding the model to torchvision, including necessary code changes in the models directory and potentially adding pre trained weights.