What is LSTM in deep learning?
An example of an AI chatbot conversation about LSTM in deep learning.
What is LSTM in deep learning?
LSTM stands for Long Short-Term Memory, a type of recurrent neural network (RNN) architecture used in deep learning.
How does LSTM differ from traditional RNNs?
LSTMs are designed to remember information for long periods, overcoming the vanishing gradient problem that affects traditional RNNs.
What are some applications of LSTM?
LSTMs are widely used in time series prediction, natural language processing, and speech recognition.
Can you explain the architecture of LSTM?
Sure! LSTM consists of memory cells, input gates, output gates, and forget gates, which help manage information flow.
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