Primary competition visual

Turtle Recall: Conservation Challenge

Helping Kenya
$10 000 USD
Completed (~4 years ago)
Classification
Computer Vision
754 joined
246 active
Starti
Nov 19, 21
Closei
Apr 21, 22
Reveali
Apr 21, 22
How did you find the tutorial?
Connect · 26 Jan 2022, 17:24 · edited 1 minute later · 6

Hello from DeepMind! We've been watching from a distance and have been very happy to see the constant growth of leaderboard submissions. DeepMind is a great believer in leaderboards as a way to make progress on hard problems - whether that's measuring the score in an Atari game, the error in folding a protein or, as in this (possibly equally hard!) case, the accuracy of a machine learning model on a test set. We hope that the tutorial we provided was useful in getting an initial model running in Jax and would love any and all feedback:

* Was the tutorial easy to run on a colab instance?

* Did it cover enough to let you hit the ground running?

* Was the code easy to follow?

* Was anything particularly confusing on a first read?

DeepMind and Zindi are planning a webinar to be shared soon. We look forward to answering any questions you may have for us or going through the starter notebook.

Discussion 6 answers

AFAIR I had no particular issue running/understanding the tutorial which covered more than enough to get me started.

Thanks for co-hosting this challenge.

26 Jan 2022, 17:38
Upvotes 0
User avatar
Professor
Carnegie Mellon University Africa

I ran the notebook as well, it was a fast smooth run and quite explanatory too. It was my first time using Jax and Haiku and I got the basic gist of it. so yeah, the code was easy to follow.

Thanks again.

26 Jan 2022, 21:03
Upvotes 0
User avatar
SaltigAI

The tutorial is cool but I am switching to Keras or Pytorch in order to use data augmentation. I did some research but I did not find something related to data augmentation with Jax.

4 Feb 2022, 01:16
Upvotes 0

Did you discover https://github.com/deepmind/dm_pix ?

We were considering including a section of the tutorial with some augmentation examples, but the tutorial was already feeling like it was quite long so we thought we'd err on the side of keeping it a bit more focused. We've made a note to include a list of likely useful Jax libraries in any future tutorials we put out, but lacking that https://project-awesome.org/n2cholas/awesome-jax seems to have a pretty good overview of what's available.

User avatar
SaltigAI

Not yet, but I will take a look. Thank you so much for sharing those interesting martials about Jax.

Sorry I'm late to the party, but running the tutorial notebook on Colab gives me a 'AttributeError: module 'jaxlib.xla_extension' has no attribute 'PmapFunction'' error now. I seem to remember it running smoothly a while back. Am I the only one facing this?
21 Feb 2022, 13:41
Upvotes 0