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| About
            Keras 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. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win. Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.
             | About
            Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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| Platforms Supported
            
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         | Platforms Supported
            
                Windows
            
            
         
            
                Mac
            
            
         
            
                Linux
            
            
         
            
                Cloud
            
            
         
            
                On-Premises
            
            
         
            
                iPhone
            
            
         
            
                iPad
            
            
         
            
                Android
            
            
         
            
                Chromebook
            
            
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| Audience
        Developers interested in an deep learning API solution to minimize the number of user actions required for common use cases
         | Audience
        ML and AI Engineers, Software Developers
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| Support
            
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| API
            
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| Pricing
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        Free
        
     
            
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| Training
            
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                Live Online
            
            
         
            
                In Person
            
            
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                Documentation
            
            
         
            
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| Company InformationKeras United States keras.io | Company InformationAnyscale Founded: 2019 United States ray.io | |||||
| Alternatives | Alternatives | |||||
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| Categories | Categories | |||||
| Deep Learning Features
            
                Convolutional Neural Networks
            
            
         
            
                Document Classification
            
            
         
            
                Image Segmentation
            
            
         
            
                ML Algorithm Library
            
            
         
            
                Model Training
            
            
         
            
                Neural Network Modeling
            
            
         
            
                Self-Learning
            
            
         
            
                Visualization
            
            
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| Integrations
            
                
    Databricks Data Intelligence Platform
            
            
         
            
                
    MLflow
            
            
         
            
                
    TensorFlow
            
            
         
            
                
    Activeeon ProActive
            
            
         
            
                
    Anyscale
            
            
         
            
                
    Apache Airflow
            
            
         
            
                
    BentoML
            
            
         
            
                
    Dataiku
            
            
         
            
                
    Feast
            
            
         
            
                
    GPUEater
            
            
         | Integrations
            
                
    Databricks Data Intelligence Platform
            
            
         
            
                
    MLflow
            
            
         
            
                
    TensorFlow
            
            
         
            
                
    Activeeon ProActive
            
            
         
            
                
    Anyscale
            
            
         
            
                
    Apache Airflow
            
            
         
            
                
    BentoML
            
            
         
            
                
    Dataiku
            
            
         
            
                
    Feast
            
            
         
            
                
    GPUEater
            
            
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