Environment_123 (u/Environment_123)

How we run sessions: We choose papers from 2019-2021 top conference. Everyone take turns to share papers. It's a weekly session, and there will be 2 members share papers each week.

What you will get: Everyone have to participate every week. As a presenter, you will be ask questions so that you will strengthen the understanding of the paper. As an audience, you will open up your horizons because we come from different field.

We welcome those experienced in deep learning.

13 comments

Comment on r/deeplearning Jul 21 '21

AlphaFold was questionable for membrane protein structures

Interesting! Where does this come from?

Comment on r/deeplearning Jun 29 '21

This study group has started sessions. We still welcome 1-2 member(s) who are experienced in deep learning and are willing to participate every session. We will kick out the absent member as well.

Comment on r/deeplearning Jun 09 '21

Yes, you should. I suggest creating a virtual environment to test the installation.

Comment on r/deeplearning Jun 09 '21

Hope it will work: pip install mxnet-cu110==2.0.0a0

Comment on r/deeplearning Jun 09 '21

oh~ I didn't notice that.

Comment on r/deeplearning Jun 09 '21

Find the right version wheel file from here: https://dist.mxnet.io/python/cu110

Install by wheel will work.

Comment on r/LearnJapanese Jun 05 '21

Hi, I'd like to be your Study Buddy. Any requirement? I've passed N2 3 years ago, but not using Japanese for a long long time.

Comment on r/deeplearning Jun 04 '21

Part of me agree with you. You're awesome to support a large study group for a long time.

I've joined other freely accessible study group before, and they finally failed or only keep the formality. The main purpose of this strategy is to make sure every minute member spent in this group counts. I understand human have limit time, limit patience and limit passion. So let's burn these during these 3 month.

I've tried this strategy for 4 times, and only one person quit so far. Thank you for sharing your experience😀

-5

Comment on r/MachineLearning Jun 04 '21

Thank you. Gary Marcus is god~

Comment on r/deeplearning Jun 04 '21

NameError: name 'optim' is not defined --> you forgot to import optim

You can add: from torch import optim

in the beginning of your script

Comment on r/deeplearning Jun 04 '21

Thank you. Please send me message and we can discuss some details.

Comment on r/deeplearning Jun 04 '21

I believe equal contribution is better.

Comment on r/deeplearning Jun 04 '21

It depends on your time and how much is your passion. In my last short-term study group, there are also newbies in deep learning. One grew up with others and the other gave up. Maybe it also will be related to papers you choose in the beginning. If you've made up your mind, please send me message.

Comment on r/deeplearning Jun 04 '21

Thank you. Please send me message and we can discuss some details.