Introducing TensorFlow Feature Columns- Google Developers Blog

What this post added

Introduced TensorFlow Feature Columns, a new abstraction for representing and processing input features in deep learning models. This feature simplifies feature engineering by allowing users to define transformations for categorical and numerical data, such as embedding lookups and bucketization, directly within the model graph. This enables more efficient and flexible feature representation for models trained with TensorFlow.