Machine Learning

Neural Architecture Transfer

NAT may be the Next Big Thing in Deep Learning

A possible network architecture. Image by author.

Neural network topology describes how neurons are connected to form a network. This architecture is infinitely adaptable, and novel topologies are often hailed as breakthroughs in neural network research. From the advent of the Perceptron in 1958 to the Feed Forward neural network to…