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.
For a while now, I really wanted to work on a machine learning project, especially since Apple let you import trained model in your iOS app now. Last September, I took part of a 24h hackathon for an e-commerce business, that was my chance to test it. The idea was simple: a visual search app, listing similar products based on a picture.