  Machine learning is completely changing the trends in the fashion industry.
From big to small every brand is using machine learning techniques in order to
improve their revenue, increase customers and stay ahead of the trend. People
are into fashion and they want to know what looks best and how they can improve
their style and elevate their personality. Using Deep learning technology and
infusing it with Computer Vision techniques one can do so by utilizing
Brain-inspired Deep Networks, and engaging into Neuroaesthetics, working with
GANs and Training them, playing around with Unstructured Data,and infusing the
transformer architecture are just some highlights which can be touched with the
Fashion domain. Its all about designing a system that can tell us information
regarding the fashion aspect that can come in handy with the ever growing
demand. Personalization is a big factor that impacts the spending choices of
customers.The survey also shows remarkable approaches that encroach the subject
of achieving that by divulging deep into how visual data can be interpreted and
leveraged into different models and approaches. Aesthetics play a vital role in
clothing recommendation as users' decision depends largely on whether the
clothing is in line with their aesthetics, however the conventional image
features cannot portray this directly. For that the survey also highlights
remarkable models like tensor factorization model, conditional random field
model among others to cater the need to acknowledge aesthetics as an important
factor in Apparel recommendation.These AI inspired deep models can pinpoint
exactly which certain style resonates best with their customers and they can
have an understanding of how the new designs will set in with the community.
With AI and machine learning your businesses can stay ahead of the fashion
trends.
