What is the difference between LSTM and RNN?
An example of an AI chatbot conversation about LSTM and RNN differences.
What is the difference between LSTM and RNN?
LSTM (Long Short-Term Memory) networks are a type of RNN (Recurrent Neural Network) designed to better capture long-term dependencies.
Why are LSTMs preferred over traditional RNNs?
LSTMs are preferred because they mitigate the vanishing gradient problem, allowing them to learn from longer sequences.
Can you give an example of where LSTMs are used?
Sure! LSTMs are commonly used in applications like language modeling, speech recognition, and time series prediction.
Are there any downsides to using LSTMs?
Yes, LSTMs can be more complex and computationally intensive than traditional RNNs, which may lead to longer training times.
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