Web Reference: Aug 15, 2024 · The tf.data API enables you to build complex input pipelines from simple, reusable pieces. For example, the pipeline for an image model might aggregate data from files in a distributed file system, apply random perturbations to each image, and merge randomly selected images into a batch for training. New examples are added via Pull Requests to the keras.io repository. They must be submitted as a .py file that follows a specific format. They are usually generated from Jupyter notebooks. See the tutobooks documentation for more details. Mar 2, 2026 · Keras is a high-level neural networks APIs that provide easy and efficient design and training of deep learning models. It is built on top of TensorFlow, making it both highly flexible and accessible.
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