6:30-9 p.m. pacific time
Check the link for a Merged Calendar Invite
Guys, I am not able to join via the invite. The .ics file won’t even upload to my calendar
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It’s just a placeholder for the time/date. Same as what Jeremy listed at the top.
Hello Everyone,
Nice to be in the new course, great material, Thanks Jeremy for the all the nice work.
I wish Jeremy would add a lesson about mixed input dataset.
I mean how to join data from text and images and may be tabular data to make prediction.
Thanks
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Once the inputs are translated to tensors, you should be able to concat them and propagate through the subsequent layers, right?
Are there further complexities to be accounted for?
Not really
I have around 12 images of different context, so I can have each context in a imagelist and then join the output, that is fine.
How to use something like resenet as a model for each group of layers?
You can write a custom module which passes on the image input to the resnet. Instead of directly connecting Convolutional features to the fully connected layers (Dense) you could concat them with the structured data.
Hi PoonamV, could you point me to the new videos (if indeed they are uploaded)? Thanks!
EDIT: never mind I found the thread: https://forums.fast.ai/t/official-updates-thread/41429
You can also find them in the thread titled
Lesson # Discussion & Wiki (2019)
Not sure if there is a separate thread for this, but a topic I like to see is seq2seq networks (all variations) in more depth.
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please look up my post on the chit chat thread.
Hi all, nice to see this course still keeping it real with v3! Just got all my Win 10 installs up to date (not only fastai but also keras-tensorflow and keras-rl gym for reinforcement learning… how smooth these days compared to just two years ago ehehe), so I am ready to go again. Deep into materials informatics now, however still curious enough and happy to learn the 2019 state of the art. Thanks again, Jeremy!
Do you know of any good resources for materials informatics datasets?
It really depends on the class of materials and the industry you are interested in (pharma, health, energy, engineering), but you can start with recent literature from https://www.nature.com/npjcompumats/articles and https://arxiv.org/list/cond-mat.mtrl-sci/recent for the state of the art in any applied field.
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Wanted to say thank you for an amazing course! I really enjoyed it and can’t wait to see the next on in June!
Is it published when these videos are open for public? I remember that Jeremy said on June so I assume it is happening soon.
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