From Google Translate to Siri, RNNs power language modeling and machine translation. They understand that the meaning of a word depends on the words that came before it.
. This recursive process allows the network to build a representation of everything it has seen up to that point. Recurrent Neural Networks Design And Applications
Uses "gates" to decide what information to keep, what to forget, and what to pass forward, effectively solving the long-term dependency issue. From Google Translate to Siri, RNNs power language
The defining feature of an RNN design is the hidden state, often described as the network's "memory." Unlike a standard network that maps an input to an output , an RNN maps (input at time ht−1h sub t minus 1 end-sub (the previous hidden state) to a new hidden state From Google Translate to Siri