Overview
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This course explains how Long Short-Term Memory networks work, covering LSTM cell architecture and mathematics while comparing LSTM and simple recurrent neural networks.
Syllabus
Intro
Issues with simple RNNS
Long Short Term Memory (LSTM)
Simple RNN vs LSTM
LSTM cell
Simple RNN cell
Short-term memory/hidden state
Cell state
Forget
Sigmoid
Input
Output
LSTM variants
What's up next?
Taught by
Valerio Velardo - The Sound of AI