#LSTM MODEL

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velvet elm
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Who does know the lstm model and how it works?

edgy cairn
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unlike regular neural networks which each neuron's output only depends on it's current input, the output of each neuron in LSTM depends both on it's current input and also the outputs of the previous neurons

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so it has a memory which can remember the outputs of the previous neurons

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so for example given an incomplete sentence and asks the LSTM to predict the next word

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let's say "He went to the store to buy ..."

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each word in the sentence contributes to predicting the next word