Chapters selected by Naomi Ceder
By Kesha Williams
From Deep Learning and the Game of Go
By Max Pumperla and Kevin Ferguson
By François Chollet with J. J. Allaire
By Dan Van Boxel
By Tommaso Teofili
From Machine Learning with TensorFlow by Nishant Shukla
To bestow neural networks with contextual cues, we’ll study an architecture called a recurrent neural network. Instead of natural language data, we’ll be dealing with continuous timeseries data, like stock-market prices. By the end of the article, you’ll be able to model the patterns in timeseries data to make predictions about future values.
