Key takeaways
- Artificial intelligence and machine learning are increasingly integrated into mobile applications to enhance their functionality.
- Developers are leveraging machine learning models to improve features like facial and speech recognition in apps.
- The article highlights eight essential machine learning toolkits that mobile developers should be familiar with.
- Apache PredictionIO serves as an open-source server for building and deploying machine learning models in mobile applications.
- Caffe is a prominent deep learning framework focused on computer vision tasks, enabling developers to perform image classification.
Emerging technologies like artificial intelligence and machine learning are being adopted by almost every organisations in the present scenario. To be in this race, developers have started implementing machine learning models to make advancements in their fields.
With all these, mobile applications have advanced a lot as compared to a few years back. Now, we have facial recognition, speech recognition, etc. abilities available to mobile applications. Developers are using these technologies thoroughly to keep up the pace with these emerging techs. In this article, we list down 8 machine learning toolkits that a mobile developer must know.
(The list is in alphabetical order)
