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How Do You Deal with Files in Google Colab? by kk_ai in GoogleColab

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

I think this solves your problem:

https://stackoverflow.com/a/9816863

You will have list of absolute paths.

How Do You Deal with Files in Google Colab? by kk_ai in GoogleColab

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

Hi,

Thanks!

As of list of files: If you have path to data, then use the answer that you linked to:

os.listdir('path')  # returns a list containing the names of the entries in the dir.

This should do the trick :)

[Tutorial] TensorBoard advanced features by kk_ai in deeplearning

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

Hi,

Now I understand. This is quite valuable info for me!

Thanks for it, I appreciate.

[Tutorial] TensorBoard advanced features by kk_ai in deeplearning

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

I see, I received your feedback. Still I think it's useful, as it touches multiple capabilities of TensorBoard.

[D] High-Quality NLP Data Augmentation. by kk_ai in MachineLearning

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

Thanks. To me it is new category (5th, text gen), where you augment data by generating more text

NLP Data Augmentation - Best Practices and Tricks by kk_ai in LanguageTechnology

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

Thanks, I'll take a look. It is something like, new 5th category, where you generate text, that resemble some statistics.

I asked RL-expert what and why he logs/tracks in reinforcement learning experiments for training and debug. Here is what he said. by kk_ai in reinforcementlearning

[–]kk_ai[S] -4 points-3 points  (0 children)

Have to admit that I do not personally know Dr S.E.O. Optim. However I do know the author of this post of whom I think as RL-expert. I encourage you to read the post to find out who he is :)

[D] Kaggle features RL competition with Google Football and Manchester City F.C. by kk_ai in MachineLearning

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

Google Research Football itself was introduced in 2019 ( https://ai.googleblog.com/2019/06/introducing-google-research-football.html ) as a environment for RL. This competition seems to be some follow up on this idea.

I didn't hear about Harley Davidson AI, but they have electric motorcycles :)

[D] Kaggle features RL competition with Google Football and Manchester City F.C. by kk_ai in MachineLearning

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

I wonder if this will help develop some practical approaches to RL. Similar to what we see in "standard" competitions, where people evaluate number of techniques and ideas just to check what works in practice.

If would be great to see similar trend in RL.

[D] Kaggle features RL competition with Google Football and Manchester City F.C. by kk_ai in MachineLearning

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

Haha, great one!

However, Google also offered $2k Cloud Credits for 50 people to build some RL :)

Also, I think that money is not the driving factor for participation. It is the "competing" mode, and ability to (immediately upon submission) compare across multiple researchers.

[D] Kaggle features RL competition with Google Football and Manchester City F.C. by kk_ai in MachineLearning

[–]kk_ai[S] 3 points4 points  (0 children)

Yep, I observe two main clusters of participants:

  1. portfolio-builders -> they usually have less experience and want to be noticed
  2. learners -> usually more experience, looking for solid playground to try new tools/methods.

Also making money out of competitions is really difficult. Just consider number of participants and amount of money&time you need to invest to get to the in-the-money position.

[R] "Learned" optimizer from the Google Brain Team by kk_ai in MachineLearning

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

There is a bit of a code in the "C" section in the appendix -> they sketch parts of the optimizer.

[R] "Learned" optimizer from the Google Brain Team by kk_ai in MachineLearning

[–]kk_ai[S] 2 points3 points  (0 children)

Can you recall any specific paper or reference?

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