2. PART I: Build, Train, and Test a Simple RNN on Sine Wave Data (70 Points) Follow the steps discussed in the lectures (PDFs and videos), redo the lecture project of building, training, and testing a simple recurrent neural network on sine wave data using TensorFlow (backend) and Keras. SUBMISSION REQUIREMENT #1 --) Submit a Jupyter Notebook document (in its native format, not PDF) that shows coding all the steps and the results of each step while redoing the project. 3. PART II: Write the Project Report (30 Points) --) Write a report on the results of the project.