在深度学习中处理标签数据的典型方法是将标签嵌入向量空间.语言模型通常使用 词嵌入来实现.TensorFlow 提供了嵌入查找操作，您可以用于您的目的.

The typical way to handle label data in deep learning is to embed the labels in a vector space. Language models do it routinely with word embedding. TensorFlow provides embedding lookup operations that you can use for you purposes.