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What is Corona?

Select from an array of plugins that boost the Corona framework, offering features like in-app advertising, data analysis, and multimedia support, among others. With a single code base, you can develop applications compatible with mobile devices, desktops, and smart TVs. Corona streamlines your development process, enabling you to edit your code, save your changes, and instantly see the results in the live update simulator. When you're ready to test your application on real devices, you only need to compile and deploy it once; from that point on, your code and resources will update automatically over your local network, creating an almost enchanting experience. With lightning-fast OpenGL graphics and the agile scripting capabilities of Lua, Corona is engineered to enhance performance at every level. As your applications are compiled on build, they are optimized for both reliability and speed. Additionally, the availability of Corona's source code empowers developers to integrate the features they need while also contributing improvements back to the core product, promoting a collaborative atmosphere. This open-source model not only inspires creativity but also fortifies the community surrounding the framework, allowing for shared growth and progress. Overall, the combination of these elements makes Corona an attractive choice for developers seeking to innovate and expand their projects.

What is Core ML?

Core ML makes use of a machine learning algorithm tailored to a specific dataset to create a predictive model. This model facilitates predictions based on new incoming data, offering solutions for tasks that would be difficult or unfeasible to program by hand. For example, you could create a model that classifies images or detects specific objects within those images by analyzing their pixel data directly. After the model is developed, it is crucial to integrate it into your application and ensure it can be deployed on users' devices. Your application takes advantage of Core ML APIs and user data to enable predictions while also allowing for the model to be refined or retrained as needed. You can build and train your model using the Create ML application included with Xcode, which formats the models for Core ML, thus facilitating smooth integration into your app. Alternatively, other machine learning libraries can be utilized, and Core ML Tools can be employed to convert these models into the appropriate format for Core ML. Once the model is successfully deployed on a user's device, Core ML supports on-device retraining or fine-tuning, which improves its accuracy and overall performance. This capability not only enhances the model based on real-world feedback but also ensures that it remains relevant and effective in various applications over time. Continuous updates and adjustments can lead to significant advancements in the model's functionality.

Media

Media

Integrations Supported

Apple tvOS
Apple watchOS
Xcode

Integrations Supported

Apple tvOS
Apple watchOS
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Corona Labs

Date Founded

2008

Company Location

United States

Company Website

coronalabs.com

Company Facts

Organization Name

Apple

Company Location

United States

Company Website

developer.apple.com/documentation/coreml

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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