Dive into a comprehensive 28-minute video explanation of Long Short Term Memory (LSTM) networks. Explore the architectural and mathematical aspects of LSTM cells, comparing them to simple RNN cells. Gain insights into the inner workings of LSTM, including the forget gate, input gate, and output gate. Understand the concepts of short-term memory, hidden state, and cell state. Examine LSTM variants and their applications. Access accompanying slides and additional resources for further learning. Join the Sound of AI community and connect with the instructor, Valerio Velardo, through various social media platforms for more in-depth discussions on AI and audio processing.
Overview
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
