Monthly Archives: November 2015

The TensorFlow perspective on neural networks

A few weeks ago, Google announced that it was open sourcing an internal system called TensorFlow that allows one to build neural networks, as well as other types of machine learning models. (Disclaimer: I work for Google.) Because TensorFlow is designed … Continue reading

Posted in Neural Networks | 2 Comments

Neural networks, linear transformations and word embeddings

In past posts, I’ve described the geometry of artificial neural networks by thinking of the output from each neuron in the network as defining a probability density function on the space of input vectors. This is useful for understanding how … Continue reading

Posted in Neural Networks | 10 Comments