Use Python to draw a plot to show the training and validation performance of a neural network model, as shown in the figure below. The training and validation results are from .npy files that I can't provide due to Chegg's policy against posting external links. Best I can do is provide screenshots of the file's contents since "nul" and "SOH" characters exist in the files. my alexisjohannahodge account on Google would be best to email from for the files or more info or something, I guess.

To complete this assignment, you need to set up the programming environment first.

Data File and Plotted Results: Files are learning_rate, train_hist and val_hist, all ".npy" files.

* learning_rate.npy - The shape of this file is (3528, 1). - Each row shows the learning rate at a specific training step. - The model is trained for 3528 steps.

* train_hist.npy and val_hist.npy - These two files are for the training result and validation result, respectively.