Day 44: 60 days of Data Science and Machine Learning Series
LSTM with Keras…
Welcome back peeps. In this post we are going to understand the basics of LSTM with Keras through a project.
Long Short Term Memory networks (LSTM) introduced by Hochreiter & Schmidhuber are special type of Recurrent Neural Networks ( RNN) designed to avoid the long-term dependency problem and can selectively remember patterns for long duration of time.
“The Long Short Term Memory architecture was motivated by an analysis of error flow in existing RNNs which found that long time lags were inaccessible to existing architectures, because backpropagated error either blows up or decays exponentially.
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