pytorch/vision

NASNet Model

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#321 opened on Nov 3, 2017

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 (15 comments) (0 reactions) (0 assignees)Python (15,050 stars) (6,858 forks)batch import
enhancementhelp wanted

Description

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)?

Contributor guide

Tech stack
python
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
5
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonPyTorchCNN architectures
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
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.