Just an addition, at 5:44, the reason why the output image will not "perfectly" be same as the input image is that the code space has fewer dimensions compared to the input space. The reason for choosing the code space to have fewer dimensions than the input space is to avoid duplicating the input which is a simple way to achieve the task that we are discussing.
Just an addition, at 5:44, the reason why the output image will not "perfectly" be same as the input image is that the code space has fewer dimensions compared to the input space. The reason for choosing the code space to have fewer dimensions than the input space is to avoid duplicating the input which is a simple way to achieve the task that we are discussing.
sir you are literally a life saver , thank you so much ...
i cant believe an indian guy can speak English like this. that's awesome
very nice material thanks,im waiting denoising with autoencoder :)
GREAT LECTURES
Thank you!
You're welcome!
its amazing video
Thank you.
You're welcome!
thank you Sir
Isn’t instance segmentation with unet example of domain adaptation? It maps image into segments using CNN. 🤔
Thank you!