Introducing TensorFlow Feature Columns- Google Developers Blog

Introduces TensorFlow Feature Columns, a new abstraction layer for representing structured data in TensorFlow models. This feature simplifies the process of handling categorical and numerical features, allowing for more efficient model training and improved performance. It provides a way to define feature transformations and combinations directly within the model graph, reducing boilerplate code and improving model readability.