I just wrote a post on Medium on Autoencoders using Fastai. I have first written an article on the principles behind it, and added some code to play with it.
I am intending to write a part 2 with some maths behind it, and a part 3 showing how to customize Fastai to more easily write Autoencoders using Fastai.
I am open to suggestions and hope you will like it
Hi DanyWin thanks for producing an informative, instructive easy to read post on unsupervised learning.
I really enjoyed reading it.
I was a bit confused by this paragraph.
Just for the fun, we can also see how these methods work for Fashion MNIST which is a harder dataset than MNIST, where we also used only 512 images. We first get the following reconstruction :
Ah, this is awesome! I’m going to take the time to go through this properly soon. At least I think I need this to solve my problem Where did you learn about it?
If you need some help to understand it better I can help you with it. The post gave the global idea, the paper gave the implementation and the maths and you can look at the code to see how it works, but if you need more explanatinons I can help ^^
I was supposed to write the follow up article but I got busy on my bs finder. Nonetheless, if you tell me what you want to do I can give you advice