Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| TensorFlow | 5 | — | 0 | 15 | 15 100% |
| TensorFlow Lite | 3 | — | 0 | 24 | 24 100% |
| TensorFlow.js | 3 | — | 0 | 11 | 11 100% |
| tensorflow.google.cn | 2 | — | 0 | 2 | 0 0% |
| 示例 | 2 | — | 0 | 2 | 2 100% |
| DeepDream | 2 | — | 0 | 3 | 3 100% |
| tf.keras | 2 | — | 0 | 12 | 12 100% |
| TensorFlow Lite | 2 | — | 0 | 3 | 3 100% |
| documentação do serviço de aceleração | 1 | — | 0 | 1 | 1 100% |
| 张量 | 1 | — | 0 | 1 | 1 100% |
| 在 TensorFlow.org 查看 | 1 | — | 0 | 1 | 1 100% |
| tensorflow.org의 Colab | 1 | — | 0 | 1 | 1 100% |
| TensorFlow Research Cloud | 1 | — | 0 | 1 | 1 100% |
| ModelSpec | 1 | — | 0 | 1 | 1 100% |
| TensorFlow Lite मॉडल मेकर | 1 | — | 0 | 1 | 1 100% |
| 模型子类化 API | 1 | — | 0 | 1 | 1 100% |
| 训练后量化 | 1 | — | 0 | 1 | 1 100% |
| TFLite के पहले से ट्रेन किए गए कुछ अन्य मॉडल | 1 | — | 0 | 1 | 1 100% |
| HParam | 1 | — | 0 | 8 | 8 100% |
| داک را بخوانید | 1 | — | 0 | 1 | 1 100% |
| 可选张量 | 1 | — | 0 | 1 | 1 100% |
| 教程 | 1 | — | 0 | 7 | 7 100% |
| Saving and Restoring section | 1 | — | 0 | 1 | 1 100% |
| HDF5 | 1 | — | 0 | 1 | 1 100% |
| בחלק מהדמואים שלהם ישירות | 1 | — | 0 | 1 | 1 100% |
| 理解语言的 Transformer 模型 | 1 | — | 0 | 1 | 1 100% |
| 安装 | 1 | — | 0 | 1 | 1 100% |
| 保存和加载 Keras 模型指南 | 1 | — | 0 | 1 | 1 100% |
| this tutorial | 1 | — | 0 | 2 | 2 100% |
| النماذج المُدرَّبة مسبقًا من مكتبة TensorFlow Lite | 1 | — | 0 | 1 | 1 100% |
| 範例 | 1 | — | 0 | 1 | 1 100% |
| TensorBoard 回调的文档 | 1 | — | 0 | 1 | 1 100% |
| tf.SavedModel | 1 | — | 0 | 1 | 1 100% |
| tf.Variable | 1 | — | 0 | 1 | 1 100% |
| TensorFlow Lite 签名 | 1 | — | 0 | 1 | 1 100% |
| 示例指南 | 1 | — | 0 | 1 | 1 100% |
| 图像特征向量 | 1 | — | 0 | 1 | 1 100% |
| tensorflow.org'daki bu Colab'i | 1 | — | 0 | 1 | 1 100% |
| TensorFlow-Objekt | 1 | — | 0 | 1 | 1 100% |
| Model Maker | 1 | — | 0 | 1 | 1 100% |
| tenzor ve tenzor sıralaması | 1 | — | 0 | 1 | 1 100% |
| View 在 TensorFlow.org 上查看 | 1 | — | 0 | 4 | 4 100% |
| TensorFlow Reocommenders হোমপেজ | 1 | — | 0 | 1 | 1 100% |
| dtype | 1 | — | 0 | 1 | 1 100% |
| 保存和序列化模型 | 1 | — | 0 | 1 | 1 100% |
| Keras | 1 | — | 0 | 1 | 1 100% |
| 官方网站 | 1 | — | 0 | 1 | 1 100% |
| 自定义 fit() 的功能 | 1 | — | 0 | 1 | 1 100% |
| 文档 | 1 | — | 0 | 1 | 1 100% |
| 在 tensorFlow.google.cn 上查看 | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to tensorflow.google.cn?
This page shows all anchor texts found in backlinks pointing to tensorflow.google.cn, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe tensorflow.google.cn.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does tensorflow.google.cn have?
The anchor text report for tensorflow.google.cn displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.