Internet of Things for Architects

RNN

RNNs are a field of machine learning all to themselves and are extremely important and relevant to IoT data. The big difference between an RNN and a CNN is that a CNN processes input on fixed size vectors of data. Think of them as two-dimensional images—that is, a known size input. CNNs also pass from layer to layer as fixed-sized units of data. An RNN has similarities, but is fundamentally different: instead of taking a fixed-size chunk of image data, it has as input a vector and output another vector. At its heart, the output vector is influenced not by that single input we just fed it, but by the entire history of inputs it was fed. That implies an RNN understands the temporal nature of things or can be said to maintain state. There ...