Keras: Deep Learning for humans
WebKeras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. Keras also gives the highest priority to crafting great documentation and ...
Getting started with Keras
WebGetting started with Keras Learning resources. Are you a machine learning engineer looking for a Keras introduction one-pager? Read our guide Introduction to Keras for engineers. Want to learn more about Keras 3 and its capabilities? See the …
Keras - Wikipedia
WebKeras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into TensorFlow library , and later supporting more.
Keras: The high-level API for TensorFlow | TensorFlow Core
WebJun 8, 2023 · Keras is the high-level API of the TensorFlow platform. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on modern deep learning. Keras covers every step of the machine learning workflow, from data processing to hyperparameter tuning to deployment.
Keras: Deep Learning for humans
WebKeras 3 implements the full Keras API and makes it available with TensorFlow, JAX, and PyTorch — over a hundred layers, dozens of metrics, loss functions, optimizers, and callbacks, the Keras training and evaluation loops, and the Keras saving & …
keras · PyPI
WebApr 26, 2024 · Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch. Effortlessly build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems, etc.
GitHub - keras-team/keras: Deep Learning for humans
WebKeras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch. Effortlessly build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems, etc.
The Keras Blog
WebJan 30, 2016 · The purpose of Keras is to be a model-level framework, providing a set of "Lego blocks" for building Deep Learning models in a fast and straightforward way. Among Deep Learning frameworks, Keras is resolutely high up on the ladder of abstraction. As such, Keras does not handle itself low-level tensor ….
Introducing Keras 2
WebThe new Keras 2 API is our first long-term-support API: codebases written in Keras 2 next month should still run many years from now, on up-to-date software. To make this possible, we have extensively redesigned the API with this release, preempting most future issues.
Training & evaluation with the built-in methods | TensorFlow Core
WebJul 24, 2023 · This guide covers training, evaluation, and prediction (inference) models when using built-in APIs for training & validation (such as Model.fit() , Model.evaluate() and Model.predict() ). If you are interested in leveraging fit() while specifying your own training step function, see the Customizing what happens in fit() guide.
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