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.

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美学，个性化和推荐：时尚深度学习调查

机器学习正在完全改变时尚界的趋势。从大到小，每个品牌都在使用机器学习技术来提高收入，增加客户并保持领先地位。人们热衷于时尚，他们想知道什么看起来最好，以及如何改善自己的风格和提升个性。使用深度学习技术并将其与计算机视觉技术融合在一起，可以通过利用受大脑启发的深度网络，参与神经美学，与GAN合作并对其进行培训，处理非结构化数据以及融合变压器体系结构来做到这一点。可以与Fashion域联系在一起。设计系统的全部内容可以告诉我们有关时尚方面的信息，这些信息可以满足不断增长的需求。个性化是影响客户支出选择的重要因素。该调查还显示了出色的方法，这些方法通过深入介绍如何解释视觉数据并将其运用到不同的模型和方法中，从而侵犯了实现此目标的主题。美学在服装推荐中起着至关重要的作用，因为用户的决定很大程度上取决于服装是否符合其审美观，但是传统的图像特征无法直接体现这一点。为此，该调查还重点介绍了出色的模型，例如张量分解模型，条件随机场模型等，以满足需要承认美学作为服装推荐中重要因素的需求。这些受AI启发的深度模型可以准确地确定某些样式最能引起客户的共鸣，并且他们可以了解新设计如何与社区融合。借助AI和机器学习，您的企业可以保持领先于时尚潮流。