Deploying on mobile devices

Deploying models in a mobile environment has varying advantages, such as privacy and zero latency, as compared to the cloud. Famous mobile platforms, such as iPhone and Android, provide a lot of APIs that facilitate the deployment of models to mobile environments.

iPhone

Apple has introduced CoreML2 for ML-related apps. More details can be found at https://developer.apple.com/machine-learning/. There is a specific framework for natural language processing (NLP). There are pre-built APIs for tokenization, identifying a language, parts of speech (POS), named entity recognition, and so on. Custom models can be trained with as well. The use of CoreML models is fast in Apple devices. The data need not...