Python for Deep Learning - Build Neural Networks in Python - Long Short-Term Memory (LSTM) Networks

The video tutorial introduces Long Short Term Memory (LSTM) networks, a type of Recurrent Neural Network (RNN) that incorporates memory cells into hidden layer neurons. LSTMs are designed to learn long-term dependencies effectively, overcoming the limitations of traditional RNNs. First presented by Hochreiter and Schmidhuber in 1997, LSTMs have been improved and widely adopted due to their effectiveness in various applications. The tutorial highlights the advantages of LSTMs, such as their ability to retain information over long periods without significant effort.

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