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[D] How do you build and train a model with a million output classes?

Most networks in tutorials only show examples with 10-1000 output classes. What techniques can be used to build and train networks with a million or more output classes?

It seems to me that using the traditional approach would be horribly computationally expensive. Intuitively, I would expect that some kind of hierarchical approach should be taken. Any links to blogs or papers that show these techniques would be appreciated.

submitted by /u/mateja
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.