Applied Deep Learning 2024 - Lecture 4 - Recurrent Neural Networks

In this lecture, we're looking at Recurrent Neural Networks (RNNs), and how they can be used to process sequences such as text, or audio. We also take a brief tour through LSTMs and the Connectionist Temporal Classification (CTC) Loss for training on unaligned data like an audio file and its transcription.
Complete Playlist: • Applied Deep Learning ...
== Literature ==
1. Deep Learning: www.deeplearnin...
2. Karpathy on RNNs: karpathy.github...
3. Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions: arxiv.org/abs/...
4. Simple OCR: cs231n.github.i...
5. Understanding LSTMs (Blog): colah.github.i...
6. RNN-Walkthrough: github.com/gab...
7. Neural End-To-End OMR: ismir2018.ircam...
8. Recognizing Speech Commands: towardsdatasci...
9. Understanding CTC: towardsdatasci...
10. Neural Machine Translation with Attention mechanism: arxiv.org/abs/...
11. towardsdatasci...
12. machinelearnin...

[@fortuneolawale9113]

nice video