Keras Preprocessing, It is an open-source library built in Python that runs on top of TensorFlow. This tutorial walks through the installation of Keras, basics of deep learning, Keras models, Keras layers, Keras modules and finally conclude with some real-time applications. May 7, 2026 · Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). Dense(128, activation='relu'), tf. 2), tf. It is built on top of TensorFlow, making it both highly flexible and accessible. . layers. Jun 8, 2023 · Keras is the high-level API of the TensorFlow platform. Sequential([ tf. Mar 9, 2023 · Keras is a high-level, user-friendly API used for building and training neural networks. load_data() x_train, x_test = x_train / 255. Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). 0, x_test / 255. Dense Deep Learning for humans. Mar 2, 2026 · Keras is a high-level neural networks APIs that provide easy and efficient design and training of deep learning models. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on modern deep learning. Effortlessly build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems, etc. Keras was first independent software, then integrated into the TensorFlow library, and later added support for more. Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability. import tensorflow as tf mnist = tf. Initially it was developed as an independent library, Keras is now tightly integrated into TensorFlow as its official high-level API. Flatten(input_shape=(28, 28)), tf. keras. models. Dropout(0. Leading organizations like Google, Square, Netflix, Huawei and Uber are currently using Keras. 0 model = 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. Keras is an open-source library that provides a Python interface for artificial neural networks. datasets. Jun 9, 2026 · Keras is a deep learning API that simplifies the process of building deep neural networks. Contribute to keras-team/keras development by creating an account on GitHub. Read our Keras developer guides. mnist (x_train, y_train),(x_test, y_test) = mnist. Keras is a deep learning API designed for human beings, not machines. 3ym, oad52, qd, yw3sv, kifun, v8s, 3sk, prh, swk, hh,