Andrea. Glad to meet yāall!
So if Iām not making mistakes, weāll have the first lesson at 3 oāclock, October 23. Am I right?
Andrea. Glad to meet yāall!
So if Iām not making mistakes, weāll have the first lesson at 3 oāclock, October 23. Am I right?
Like I said previously, good idea! We could use the EU study group for everything but local meetups.
Hi everybody,
this is Riccardo from Italy too.
Hello everyone!!!
This is Federico, I am Italian but I am now living in Finland!!!
Hi all! Here Iāamā¦ Andrea from Milan, Italy. letās roll
Hello guys, did you attend the live class this āmorningā?
This year I canāt make it (job hours are not that compatible with waking up in the middle of the night), but if you can I strongly suggest following live.
Itās a completely different experience!
What about trying to solve a classification problem as study group to practice with new library?
Could be a Kaggle dataset or competition:
About 70mb:
About 116MB:
Other āsmallā (and usually fast to train and to make experiments) dataset for image classification to pick:
https://www.kaggle.com/datasets?sortBy=hottest&group=public&page=1&pageSize=20&size=medium&filetype=all&license=all&tagids=13302%2C14102
ā¦ On small datasets like that you can even practice with CPU!
I attended too!
Now at workā¦
I would try to focus on specific real-problems/issues that, if solved, could be of direct and immediate benefit of those in need.
For instance:
https://www.synapse.org/#!Synapse:syn4224222/wiki/401743
More over, if we can apply our learnings as a group to specific problems, we can also double-check what the state of the art currently states.
What do you think guys?
Other available resources on the same topic:
Full data-set:
Iām in! Choose the one you like.
BTW: Iāve used fast.ai v1 to this old competition yesterday and got very good results at the first try: 32 errors over 4462 in the validation set.
Hi guys, Iām in too.
Ciao @ste,
thanks for the reply!
I found the histological data-set for breast cancer interesting for several reasons:
It seems that images normalization used in the paper uses a different criteria than the standard one proposed by @jeremy in the class
It seems balanced
There are state-of-the-art metrics
Can provide an impact to health of women
It would be great to run this group-session āliveā (via hangout?)
Thanks,
d.
Great! Letās find a way to collaborate on the same dataā¦
Anyone would join us?
In the past Iāve tried to participate to āSkin Lesion / Melanoma Detectionā previous editions, but didnāt have so much time and understanding of mixing CNN & Tabular dataā¦
Hello guys, I collected all my learning/questions in a class-lesson related thread here:
https://forums.fast.ai/t/lesson-1-chat/27332/948?u=danielegaliffa
What are your learnings so far?
Thanks
@danielegaliffa regarding to your last question, Iāll suggest to take a look at @devforfu and @gianferrarif work:
https://forums.fast.ai/t/how-to-get-an-empty-convlearner-for-single-image-prediction/28245/49
Hello, I have just launched a discussion thread on fastai study groups to gather feedback from organizers and participants to identify best practices and avoid some gaps.
You will find more information in this post. Thank you if you can take a few minutes to participate in the discussion