{"id":14958825,"url":"https://github.com/noobtw/tfjs-tutorials","last_synced_at":"2025-08-08T02:05:01.289Z","repository":{"id":88128023,"uuid":"133595057","full_name":"NoobTW/tfjs-tutorials","owner":"NoobTW","description":"📃 TensorFlow.js 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是由社群翻譯的 TensorFlow.js 中文指南。原始資料及圖片來自 [TensorFlow.js Tutorials \u0026 Guides](https://js.tensorflow.org/tutorials/)。\n\n## 入門\n\n### [TensorFlow.js 的核心概念](/tutorials/core-concepts.md)\n\n學習 TensorFlow.js 中的核心概念：張量、運算子、模型、層，以及訓練，並學習一些有用的記憶體管理方法，以及如何寫出簡潔（tidy）的程式碼。\n\n### [給 Keras 使用者的 TensorFlow.js 層 API](/tutorials/tfjs-layers-for-keras-users.md)\n\n這份指南解釋了 TensorFlow.js 層 API 和 Keras 的相同和相異之處。\n\n### [如何開始從 X 開始的 TensorFlow.js 的指南](/tutorials/how-to-get-started.md)\n\n這份指南提供了一系列不同領域的 TensorFlow.js 入門資源。\n\n## 訓練模型\n\n### [訓練的第一步：從合成數據中訓練曲線](/tutorials/fit-curve.md)\n\n這份教學將示範從零開始使用 TensorFlow.js 操作建立一個玩具模型。我們會將一個多項式函數調整到適合一些合成數據的曲線。\n\n### [圖像訓練：使用卷積神經網路辨識手寫數字](/tutorials/mnist.md)\n\n這份教學介紹了使用卷積神經網路來辨識圖像（MNIST）中的手寫數字。我們使用 TensorFlow.js 的層 API 來建構、訓練並評估模型。\n\n### [轉移學習：訓練一個神經網路來預測 Webcam 資料](/tutorials/webcam-transfer-learning.md)\n\n這份教學將解釋如何訓練神經網路，以便從 Webcam 資料中進行預測。我們將使用這些預測資料來玩 Pac-Man！\n\n### [轉移學習：建立一個語音辨識模型](https://codelabs.developers.google.com/codelabs/tensorflowjs-audio-codelab/index.html) （外部網站）\n\n在這份教學裡將能夠建立一個語音辨識模型，並用它來聲控瀏覽器的聲音滑桿。\n\n### [儲存和載入 tf.Model](/tutorials/model-save-load.md)\n\n這份教學解釋了如何儲存 `tf.Model` 到瀏覽器的 Local Storage 等不同位置，並載入回來。\n\n## 使用預先訓練模型\n\n### [如何將 Keras 模型導入 TensorFlow.js](/tutorials/import-keras.md)\n\n這份教學介紹如何把現有的 Keras 模型轉換到瀏覽器中使用。\n\n### [如何將 TensorFlow SavedModel 導入 TensorFlow.js](https://github.com/tensorflow/tfjs-converter)\n\n**Developer Preview**：這份教學介紹如何把現有的 TensorFlow SavedModel 轉換到瀏覽器中使用。\n\n## 進階項目\n\n### [如何定義自訂的 WebGL 操作](/tutorials/custom-webgo-op.md)（尚未完成）\n\n這份教學如何建立一個自訂的 WebGL 操作，並能用來和 TensorFlow.js 的其他操作一起使用。\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoobtw%2Ftfjs-tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoobtw%2Ftfjs-tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoobtw%2Ftfjs-tutorials/lists"}