Machine Learning with TensorFlow 1.x

Obtaining training data

Machine learning requires training data—often a lot of training data. One of the great things about machine learning is the availability of standard training datasets. These are often used to benchmark node models and configurations and provide a consistent yardstick to gauge performance against previous progress. Many of the datasets are also used in annual global competitions.

This chapter uses training data, which is kindly provided by Yaroslav Bulatov, a machine learning researcher.