In this document I cover the directory structure for the project, accessing and running the code, viewting the html in the localhost, viewing the GitHub hosted site, and provide my contact information for any questions.
The directory is organized as follows:
-index.html - The main page of the site. The reason that this file is outside the blog_html_files directory is that the site is hosted on github pages and it uses index.html as the landing page. When this file is opened with google Chrome or an alternate browser, you will find links to go to part 1 and part 2 of the assignment.
-blog_html_files - This contains the alternate html pages such as main.html (part 1 html code) and main2.html (part 2 html code). This also contains some alternate html code that you will find on the main landing page.
-css - The CSS for our HTML lives here.
-images - The images used in the HTML files lives here.
-js - The javascript for our blog lives here.
-code - Here you will find Facial_GANs.ipynb which contains the code for part 2 of the assignment. You will also find some files and images used in the ipython notebook.
-blog.pdf - A pdf rendered version of the blog.
-README.md - The file you are currently viewing. This covers using the directory structure for the project, running the code, viewing the HTML in the localhost, viewing the GitHub hosted site, and provides contact information for any further questions.
To run the code please open up a jupyter notebook server (iPython server) and navigate to the code directory. Then open the Facial_GANs.ipynb folder. To run the code please run the cells in a sequential fashion. However, you will not be able to run the section where we use an AWS GPU. Here, you will need to separate the code and upload it to an instance to run it. However, you can run the CPU implementation which is all cells before the section "Using a GPU for Training."
To view the html please open up index.html. This will navigate you to part 1 and part 2 of the assignment.
The HTML has been hosted with GitHub pages. To view the website please go to https://ad1m.github.io/GANs/ in your browser. If this does not load please try https://ad1m.github.io/GANs/index.html. It is recommended to use Google Chrome for viewing experience.