Examples cleanup

[schien1729]

Current Issues:

• Very high (number of directories / number of code files) ratio
• Organization is inconsistent: top-level directories are variously named for type of task (classify), type of architecture (rnn), or model itself (gpt-2).
• Within classify directory, inconsistency in directory structure (img/ has an imagenet subdirectory, but everything else (mnist, cifar) is at top level, including another imagenet model.
• A number of utilities (I think) are not documented with their purpose.
• classify also has a semi_supervised subdirectory. Unless all semi-supervised examples are going to be classification examples, it should probably not be here.
• There are a lot of directories with only one subdirectory.

New Guidelines

• Fewer dirs with only one subdir.
• Separate folders for common tutorial tasks (images, text)
• Separate folders for specific research work (one folder per paper); open to future consolidation if there are several similar papers

[schien1729]

Hi Alex-- Thanks for the comments. Please take another look whenever is convenient!