For quite some time now, I’ve been developing an interest to data analysis to find new ways to improve mobile app. I’ve recently found some time to experiment neural language processing for a very specific usecase related to my daily work, sentiment analysis of customer reviews on fashion items.
Since WWDC18, Apple made it way easier to developers to create model for machine learning to integrate iOS apps. I have tried myself in the past different models, one for face detection and create another with Tensorflow to fashion classification during a hackathon. Today I’ll share with you how I create a model dedicated to fashion brands.
With iOS11, Apple introduced the ability to integrate machine learning into mobile apps with Core ML. As promising as it sounds, it also has some limitations, let’s discover it around a face detection sample app.