Difference between revisions of "Bidirectional Long Short-Term Memory (BI-LSTM)"
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The purpose of the Bi-LSTM is to look at a particular sequences both from front-to-back as well as from back-to-front. In this way, the network creates a context for each character in the text that depends on both its past as well as its future. | The purpose of the Bi-LSTM is to look at a particular sequences both from front-to-back as well as from back-to-front. In this way, the network creates a context for each character in the text that depends on both its past as well as its future. | ||
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<youtube>fKSijaXq9qM</youtube> | <youtube>fKSijaXq9qM</youtube> | ||
Revision as of 11:53, 11 June 2020
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- Bidirectional Long Short-Term Memory (BI-LSTM) with Attention Mechanism
- Recurrent Neural Network (RNN)
The purpose of the Bi-LSTM is to look at a particular sequences both from front-to-back as well as from back-to-front. In this way, the network creates a context for each character in the text that depends on both its past as well as its future.
