TFX 是端對端平台，用於部署生產環境中的機器學習管道
當你準備好將模型從研究投入到實際生產，可使用 TFX 來建立及管理生產環境管線。
運作方式
TFX 管線是實作機器學習管線的一系列元件，專門用於可擴充的高效能機器學習工作，元件是使用 TFX 程式庫所建構，而這些程式庫也可以分開使用。
常見問題的解決方案
探索可協助你完成專案的逐步教學課程。
這份指南會訓練類神經網路模型將衣物 (例如運動鞋和襯衫) 的圖片分類、儲存經過訓練的模型，然後使用 TensorFlow Serving 來提供模型。指南內容側重於 TensorFlow Serving，而不是在 TensorFlow 中建立模型和進行訓練。
介紹 TFX 和 Cloud AI 平台管道，讓你在 Google Cloud 上建立自己的機器學習管道。遵循一般機器學習開發流程，首先檢查資料集，最後產生完整的作業管道。
瞭解 TFX 如何建立及評估將在裝置端部署的機器學習模型。TFX 現在原生支援 TFLite，因此可以在行動裝置上執行推論，成效相當卓越。
最新消息與公告
Check out our blog and YouTube playlist for additional TFX content,
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latest announcements sent directly to your inbox.
Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents
Many of our music recommendation problems involve providing users with ordered sets of items that satisfy users’ listening preferences and intent at that point in time. We base current recommendations on previous interactions with our application
TensorFlow
2023年10月19日
Serving With TF and GKE: Stable Diffusion
Generative AI models like Stable Diffusion 1 that lets anyone generate high-quality images from natural language text prompts enable different use cases across different industries. These types of models allow people to generate these images not only
TensorFlow
2023年4月28日
How Vodafone Uses TensorFlow Data Validation in their Data Contracts to Elevate Data Governance at Scale
As one of the largest telecommunications companies worldwide, Vodafone is working with Google Cloud to advance their entire data landscape, including their data lake, data warehouse (DWH), and in particular AI/ML strategies. While Vodafone has used
TensorFlow
2023年3月10日
Extend your TFX pipeline with TFX-Addons
To produce production-level machine learning models, TensorFlow provides a portfolio of libraries under the umbrella of TensorFlow Extended (TFX). With just a pip install, TFX already includes a number of versatile pipeline components - referred to
TensorFlow
2023年2月7日