Stokastik

Machine Learning, AI and Programming

Tag: Variational Autoencoder

Fast Nearest Neighbour Search - KD Trees

In a few of my earlier posts "designing Q&A retrieval system" and "designing e-commerce system for similar products using deep learning", one of the primary goals was to retrieve the most similar answers (responses) and the most similar e-commerce products respectively in a fast and scalable way. The later post was pretty much generic i.e. find dense representations for each item (questions, product images etc.) using un-supervised and supervised learning […]

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Understanding Variational AutoEncoders

This post is motivated from trying to find better unsupervised vector representations for questions pertaining to the queries from customers to our agents. Earlier, in a series of posts, we have seen how to design and implement a clustering framework for customer questions, so that we can efficiently find the most appropriate answer and at the same time find out most similar questions to recommend to the customer.

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