What is the difference between LSTM and GRU?

LSTM or Long Short Term Memory is a kind of Recurrent Neural Network that is capable of learning long-term patterns. It was developed by Schmidhuber and Hochreiter in 1997. It connects sequences of memory in a way that makes it difficult to remember each of the items for an extended period of time. A Globally…

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What is LSTM and How does it work?

One of the most common problems in RNNs is called gradient vanishing. LSTM architectures help you with this. A very common type of RNN is LSTM. This type of network is much better at capturing long-term dependencies than simple RNNs. The only unusual thing about LSTMs is the way that they compute the hidden state.…

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