Option #$2$: Encoder$-$Decoder Model for Sequence$-$to$-$Sequence Prediction

Part $1($Research Write$-$up$)$:

Research and analyze the use of encoder$-$decoder models in industry and in applications. Your use cases should be uniquely distinct and should cover multiple areas of industry. Ensure that your paper meeting the following guidelines:

Identify at least $4$ pertinent use cases in which this model is used and the benefit for using it in each.

Your paper should be a maximum of $4$ pages and include at least $3$ scholarly references in APA format. Ensure that your assignment is formatted according to the CSU Global Writing Center. You can easily access the Writing Center by clicking on the tab in the course navigation panel.

Part $2($Programming Implementation$)$:

For this Portfolio Project assignment, you will develop an encoder$-$decoder model for sequence$-$to$-$sequence prediction using Keras. $($Keras library is a wrapper for low$-$level TensorFlow commands, and you will import this as a Python library.$)$ The encoder$-$decoder model provides a pattern for using recurrent neural networks to address challenging sequence$-$to$-$sequence prediction problems such as machine translation.