Archives for Gated Recurrent Units (GRUs)
Long Short Term Memory in short LSTM is a special kind of RNN capable of learning long term sequences. They were introduced by Schmidhuber and Hochreiter in 1997. It is explicitly designed to avoid long term dependency problems. Remembering the long sequences for a long period of time is its way of working.
The post LSTM Vs GRU in Recurrent Neural Network: A Comparative Study appeared first on Analytics India Magazine.
Recurrent Neural Networks have shown assuring results in various machine learning tasks. It has been applied in various cases, such as time-series prediction, machine translation, speech recognition, text summarisation, video tagging, language modelling and more. Recurrent Neural Network or RNN is a popular neural network that is able to memorise arbitrary-length sequences of input patterns…
The post Gated Recurrent Unit – What Is It And How To Learn appeared first on Analytics India Magazine.