"An image says more than 1000 words" At StyleSage we collect and analyze e-commerce data from 150 million fashion products across 100+ countries - updated daily! Analyzing the images and understanding them is a critical step in categorizing products, extracting attributes and detecting outliers. Join us to understand how Convoluted Neural Network (CNN) algorithms can be used in Python for deeplearning image analysis. In this talk I am going to explain the basic concept of deeplearning algorithms, give an overview on available frameworks in Python and then show a hands on application of that technology in the fashion domain. Robert Figiel, Co-Founder & CTO of StyleSage - Fashion meets Big Data
Robert is the co-founder and CTO of StyleSage - Fashion meets Big Data and together with his team delivers data-driven insights to fashion retailers and brands.
As a former McKinsey consultant, Robert worked on a wide range of projects across Europe and Africa. During university, he worked at a cancer research center, where he developed software to auto-detect cancerous structures in 3D MRI images during treatment.
A proud global citizen and passionate traveler, Robert speaks 5 languages, has lived and worked in 9 countries, and travelled to 50+ countries.
Robert has a Masters in Industrial Engineering from Georgia Tech, a Diploma of engineering from TU Berlin and a MBA from INSEAD, all with distinction.