Deep Learning in Real Time – Inference Acceleration and Continuous Training

Introduction Deep learning is revolutionizing many areas of computer vision and natural language processing (NLP), infusing into increasingly more consumer and industrial products intelligence capabilities with the potential to impact the everyday experience of people and the standard processes of industry practices. On a high level, deep learning, similar to any automated system based on […]

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Customer Lifetime Value Prediction Using Embeddings

Introduction This paper was presented during the RE·WORK · Deep Learning in Retail & Advertising Summit (London). It describes the Customer Life Time Value (CLTV) prediction system deployed by ASOS.com, an online clothing shopping website. For e-commerce companies, being able to better predict the CLTV delivers a huge benefit for the business. This paper provides […]

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Failures of Deep Learning

Abstract Today, Deep Learning is being applied in many fields such as computer vision, audio and natural language processing and generation etc. Although we are pushing the limits of its performance, people should be aware that Deep Learning has its limitations. In 2015, Anh Nguyen published a paper in CVPR [1] that identified a limit […]

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