Vision: Building Autoencoders

[seyeeet]

📚 Documentation

can we have a toturial like this in pytorch
https://blog.keras.io/building-autoencoders-in-keras.html

[zhangguanheng66]

Transfer the issue here since this repo is more relevant.

[seyeeet]

just curious what kinda help is needed?

[vfdev-5]

@seyeeet which part of keras blog post you think to have as tutorial in pytorch ?

[seyeeet]

The whole page is useful, but I am specifically more interested in the representation parts and visualizations, I think there is already a lot of repos that cover the VAE part, but the visualization and representation (toward the end) can be really useful to have.

[vfdev-5]

@seyeeet there is also a tutorial on visualization with TensorBoard : https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html
Is it something like that you'd like to see ?

[seyeeet]

not really, the tsne part was my main focus tbh and how to change the parameters in vae to visualize the different latent space in the vae.

[seyeeet]

I am going to close this issue, I found that I can combine a vae code with the explanation that is provided here.
if you decide to do it for educational purposes that is great and I am happy to help.
thanks