With support for JAX, TensorFlow, and PyTorch, Keras enables seamless transitions between frameworks, enhancing model portability and leveraging the strengths of each ecosystem. Its user-friendly design minimizes cognitive load, providing clear documentation and actionable error messages to facilitate learning and usage.
Keras is scalable, capable of handling large clusters of GPUs and TPU pods, making it a robust choice for state-of-the-art research and industry-strength applications. It has been adopted by leading organizations such as CERN, NASA, and NIH, showcasing its versatility and effectiveness in various domains.
You can learn more about pricing for Keras at its pricing page.
Keras can be categorized under Machine Learning Librariess, which is commonly listed under AI Tools tools.
Not all similar tools offer the same features. Most include a free plan or trial, so you should be able to give them a try. You can browse some of the alternatives to Keras listed in the directory.
Some tools might also offer discounts or offers, especially for newer members. Most of these offers traditionally come as part of affiliate programs or promotions, but often you can reach out to companies and check whether they can give you special pricing.
Similar Tools
Compare Keras With Other Similar Tools
| Logo | Name | Overview | |
|---|---|---|---|
| Apache Mahout | Apache Mahout is a distributed linear algebra framework designed for scalable machine learning applications. Pricing: Free | |
| Orange Data Mining | Orange Data Mining is an open-source machine learning and data visualization toolbox. Pricing: Free | |
| PyTorch | PyTorch is an open-source machine learning library that provides a flexible platform for deep learning research and production. Pricing: Free | |
| scikit-learn | Scikit-learn is a powerful machine learning library for Python. Pricing: Custom |
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