Announcing TensorFlow r1.4

TensorFlow release 1.4 introduces significant updates, including the integration of Keras into the core TensorFlow package as tf.keras, enhancing its utility in production workflows with high-level APIs. This release also sees the Dataset API moving to the core package as tf.data, which now supports Python generators and is recommended for creating input pipelines due to its superior functionality and performance. Additionally, the new utility function tf.estimator.train_and_evaluate simplifies the training, evaluation, and exporting of Estimator models, supporting both distributed and local execution. Installation of TensorFlow 1.4 can be done using pip, and the release notes provide further enhancements and updates. The TensorFlow community encourages contributions on GitHub and participation through platforms like Stack Overflow.