6 Matching Annotations
  1. Aug 2021
    1. A neural network with a hidden layer has universality: given enough hidden units, it can approximate any function. This is a frequently quoted – and even more frequently, misunderstood and applied – theorem. It’s true, essentially, because the hidden layer can be used as a lookup table.
    2. t-SNE visualizations of word embeddings.
  2. Sep 2020