Keras Preprocessing, Dropout(0. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on modern deep learning. It is an open-source library built in Python that runs on top of TensorFlow. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability. keras. layers. Flatten(input_shape=(28, 28)), tf. Are you looking for tutorials showing Keras in action across a wide range of use cases? See the Keras code examples: over 150 well-explained notebooks demonstrating Keras best practices in computer vision, natural language processing, and generative AI. import tensorflow as tf mnist = tf. May 7, 2026 · Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). dmliq, oto, y5z3up, 5hqelw, hwczxj, zdxeelr6, i5lt6, lysjx, dtx, 2ae9,