Explain the basic concepts of RNNs (i.e., types of datasets, widely used libraries, convolutional layers, and pooling).

Explain the architecture of an RNN sequence (biological behavior). Include at least two real-world examples of implementation to support your explanation.

Describe two challenges when training with RNN models. Provide examples to support your rationale.

Provide supporting evidence from at least two resources other than the textbook.