An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution Uber uses convolutional neural networks in many domains that could potentially involve coordinate transforms, from designing self-driving vehicles to automating street sign detection to build maps and maximizing the efficiency of spatial movements in the Uber Marketplace. In deep learning, few ideas have experienced
Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time. Extreme events—peak travel times such as holidays, concert
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