Understanding LSTM Networks -- colah's blog
By Christopher Olah
Free
Added 7 months ago
Description
LSTMs are crucial for learning long-term dependencies in recurrent neural networks.
Summary
Written by Christopher Olah, the article discusses Long Short-Term Memory (LSTM) networks and their superiority in learning long-term dependencies.
Key Insights
💡 LSTMs revolutionize the handling of long-term dependencies in sequence prediction problems. 💡 The structural enhancements in LSTMs, particularly the use of gates, provide a robust mechanism to selectively remember or forget data across long sequences.