pytorch/vision

NASNet Model

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#321 建立於 2017年11月3日

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 (15 留言) (0 反應) (0 負責人)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)?

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技術棧
python
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
5
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
PythonPyTorchCNN architectures
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
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.
NASNet Model · pytorch/vision#321 | Good First Issue