Nearist has recently benchmarked exhaustive (or “brute force”) k-NN search on a dataset of 1 billion image descriptors (the deep1b dataset). A single server containing Nearist’s Vector Search Accelerator (VSX) cards was able to find Read more…
In part 2 of the word2vec tutorial (Part I below), I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. When you read the Read more…
This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual introductory and abstract insights about Word2Vec, and get into more of the details. Read more…
