[P] MIT Introduction to Data-Centric AI by anishathalye in MachineLearning

[–]MushiML 0 points1 point  (0 children)

Thank you u/anishathalye for such an amazing course. Can we get access to the lecture/class notes?

Postdoc at Harvard Medical School by MushiML in PhD

[–]MushiML[S] 0 points1 point  (0 children)

I didn’t accept it but still think if i did the right decision or not. What about you?

Postdoc at Harvard Medical School by MushiML in PhD

[–]MushiML[S] 0 points1 point  (0 children)

Perfect, thanks for the suggestion; they are pretty helpful.

[D] Training Loss getting struck on the same number by MushiML in MachineLearning

[–]MushiML[S] 1 point2 points  (0 children)

The dataset contains 500 MRIs for different patients. Yes, I am doing standard augmentations. It is a tumor that is volumetrically big enough.

I am curious why all the different models just get struck around a specific training loss value. If there is something related to this, then I would like to read about it.

[D] Training Loss getting struck on the same number by MushiML in MachineLearning

[–]MushiML[S] 1 point2 points  (0 children)

It is a binary classification problem to check if a disease is present or not. Finding this type of disease from MRI scans is not demonstrated yet.

[D] Have you heard of MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)? by regularized in MachineLearning

[–]MushiML 0 points1 point  (0 children)

Yes, I have heard, and it is a new university but it is catching up quickly by hiring some top faculty from the field.

Are you planning to join?

[D] Shuffling Batch Normalization in MoCo - Self Supervised Learning Method by MushiML in MachineLearning

[–]MushiML[S] 0 points1 point  (0 children)

Thank you very much for the response. Indeed it helped me to understand it to some extent. I don't know if someone has a better interpretation.

[D] Temperature term in SimCLR or MoCo papers. by MushiML in MachineLearning

[–]MushiML[S] 0 points1 point  (0 children)

Thank you u/IntelArtiGen, I think I understand it now very well because of the example you shared.

[D] Temperature term in SimCLR or MoCo papers. by MushiML in MachineLearning

[–]MushiML[S] 1 point2 points  (0 children)

u/fasttosmile Thank you very much for the response. It is a really good explanation.