What is the maximum number of steps that a RNN can memorize avoiding the vanishing gradient problem and the maximum steps that LSTM can memorize?
Wednesday, 03 July 2024
by Arcadio Martín
Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks are two pivotal architectures in the realm of sequence modeling, particularly for tasks such as natural language processing (NLP). Understanding their capabilities and limitations, especially concerning the vanishing gradient problem, is important for effectively leveraging these models. Recurrent Neural Networks (RNNs) RNNs are designed to