Recurrent Neural Networks

Remi Genet

2025-02-18

Les cours de cette partie sont:

Long Short-Term Memory Networks (LSTM)

Understanding the mathematics and principles behind LSTM networks, their historical significance, and practical considerations.

Modern RNN Architectures

Understanding modern RNN variants and their mathematical foundations.

RNN Limitations: Computational Challenges

Understanding the computational limitations of RNNs and their impact on training efficiency.

Sequential Data Processing: From MLPs to RNNs

Understanding the challenges of processing financial time series data and why we need recurrent neural networks.