long-short term memory networks removes some information from the input received true or false
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Long-short term memory networks remove some information from the input received. The statement is true.
- Information can be stored in a long short-term memory network, an advanced RNN or sequential network. It can fix the vanishing gradient problem with the RNN.
- Recurrent neural networks, also known as RNNs, are employed for persistent memory. A forget gate eliminates information from the cell state.
- The information that is no longer necessary for the LSTM to understand something or that is of lower importance is removed by multiplying a filter.
- This is required to boost the functionality of the LSTM network. The entry, storage, and exit of data in a sequence are governed by a number of "gates" used in STMs.
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