Google Developers Japan: 新しい TensorBoard API で機械学習の独自の可視化をビルド

Local blog for Japanese speaking developers

新しい TensorBoard API で機械学習の独自の可視化をビルド

2017年10月5日木曜日

この記事は Google Brain チームソフトウェアエンジニア、Chi Zeng、Justine Tunney による Google Research Blog の記事 "Build your own Machine Learning Visualizations with the new TensorBoard API" を元に翻訳・加筆したものです。詳しくは元記事をご覧ください。2015 年に TensorFlow をオープンソース化TensorBoard高次元空間のクラスタの探索API のセットGitHub にある tensorboard/plugins ディレクトリ適合率-再現率曲線

データの収集とその後の可視化に使用する、サマリー用 TensorFlow 演算 [GitHub]

カスタムデータを供給する Python バックエンド [GitHub]

TypeScript と polymer を使用して構築された TensorBoard 内のダッシュボード [GitHub]

デモを提供TensorBoard "Greeter" プラグイン既存のプラグインChris AndersonBeholderこちら

Issue Tracker謝辞Kaz Sato - Staff Developer Advocate, Google Cloud

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