Introduction to TensorFlow Datasets and Estimators- Google Developers Blog

What this post added

This post introduces TensorFlow Datasets (tf.data) and Estimators (tf.estimator) as high-level APIs for building and training machine learning models. tf.data provides a flexible and efficient way to build input pipelines for TensorFlow, handling data loading, preprocessing, and batching. tf.estimator simplifies the process of training, evaluating, and deploying models by abstracting away much of the boilerplate code, supporting distributed training and customizability.