Transfer Learning with AutoencodersStarting Out Examine the notebook for Chapter $11,11\_$training$\_$deep$\_$neural$\_$networks.ipynb here $.$ You also might want to look at the notebook for chapter $10,$ which you've already used in lab $6.$ Examine the notebook for Chapter $17,17\_$autoencoders$\_$and$\_$gans.ipynb here $.$ Build a new notebook for this lab. Much of the contents will probably be cut$-$and$-$paste from two chapter notebooks, $11$ and $17-$ that's OK$.$ If you borrow chunks from anywhere other than the book's notebooks, be sure to document that with a link to where the code came from. Our goal here is to explore the idea of using an autoencoder as a training aid to allow us to use much less labeled training data. To create a benchmark, use the code from chapter