lt@chainer meetup
TRANSCRIPT
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LT@Chainer Meetup 2015.10.14
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@mitmul, @masvsn (Eng.)
↑人生初プルリクでした…
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研究紹介をすこし・・・
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航空画像セグメンテーションの研究
Convolutional Neural Network
64 x 64 x 3 (RGB) sized patches
Correct answers
Predictions
16 x 16 x 3 (building, road, other)
Calculate loss
Back
prop
agat
ion
RG
B
Input aerialimage patch ss
Predictedlabel patch m̂̂m
FC(4096)C(64, 16x16/4) P(2/1) C(112, 4x4/1) C(80, 3x3/1) FC(768)
Loss Function
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Input aerial image Predicted 3-channel label image from the basic architecture
航空画像セグメンテーションの研究
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その他
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物体検出例(Fast R-CNNすごい)Web API DEMO(slideshare用にキャプチャ書き出しました.実際は1~2FPSくらい)
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Chainerを使ってみた例
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Chainerのいいところ
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あと… ・環境構築が簡単(研究室/プロジェクトでCaffeを中心的に使っていたときは色々な人/サーバのところを回ってひたすら環境構築をし続ける日々があった…)
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• 学習済みモデルの共有
- 学習済みモデルの統一された保存形式があれば良い?
- FunctionSetを継承した独自Classを書くことが多い
- モデルの書き方の自由度が高いので難しい・・?
• ベンチマーク(統一された比較基準がない?)
- https://github.com/soumith/convnet-benchmarks • cute mascot
要望など
chainerの最新のアップデートに追いつけていないのですが…