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 (6,858 forks)batch import
enhancementhelp wanted

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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

Research direction
Study the NASNet architecture from the paper and reference implementation in TF slim. Then implement in PyTorch following torchvision model conventions. Start by creating a new file in torchvision/models and add the model class.
Tech stack
pythonpytorch
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
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.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PyTorchCNNGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
35