Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): When to Model RNN

The video tutorial discusses the applicability of recurrent neural networks (RNNs) in various sequence modeling problems. It provides examples such as human activity recognition, image captioning, machine translation, speech recognition, and stock price prediction. The instructor challenges students to identify five more problems where RNNs are more suitable than traditional methods. The tutorial concludes with a preview of the next module, which will cover general architectures of RNNs.

Why are recurrent neural networks considered the best choice for sequence modeling problems?

What diverse applications or problems can be gathered for recurrent neural networks?