LSTM: Long Short Term Memory Cells
Learn how LSTM cells enable recurrent neural networks to handle long-term dependencies in sequential data. This lesson breaks down complex LSTM equations step-by-step, explaining input, forget, and output gates, cell memory states, and their implementation in PyTorch to help you grasp both the math and intuition behind LSTMs.
How does LSTM work?
LSTM (Long Short Term Memory) cells are the most commonly used RNN cell nowadays. Don’t be scared of the math! We will slowly clarify every term by inspecting every equation separately.
LSTM is the most popular RNN because it has a special memory component denoted by in the equations. It represents long-term memory.
Here is a sketch overview:
Let’s start with some notations.