An introduction to the TensorFlow machine learning system

For an easy-to-understand introduction to the TensorFlow machine learning system, take a look at the entertaining series of videos produced by artificial intelligence educator Siraj Raval. The first video in the series is shown above, and the full series can be found on YouTube. TensorFlow was developed by researchers and engineers working on the Google Brain Team for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to also be applicable in a wide variety of other domains as well. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.