How does an LSTM cell work in an RNN?
Sunday, 13 August 2023
by EITCA Academy
An LSTM (Long Short-Term Memory) cell is a type of recurrent neural network (RNN) architecture that is widely used in the field of deep learning for tasks such as natural language processing, speech recognition, and time series analysis. It is specifically designed to address the vanishing gradient problem that occurs in traditional RNNs, which makes
- Published in Artificial Intelligence, EITC/AI/DLPTFK Deep Learning with Python, TensorFlow and Keras, Recurrent neural networks, Introduction to Recurrent Neural Networks (RNN), Examination review
Tagged under:
Artificial Intelligence, Deep Learning, LSTM, Memory Mechanism, RNN, Vanishing Gradient Problem