Put another way, training a neural autoencoder finds the values of the weights and biases so that the output values closely match the input values. After training, when a data item is fed to the ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Back in 2013, a handful of researchers at Google set loose a neural network on a corpus of three million words taken from Google News texts. The neural net’s goal was to look for patterns in the ...

The Data Science Lab. Data Dimensionality Reduction Using a Neural Autoencoder with C#. Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an ...