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There was a lot of noise about this. But if you read the blog post carefully, Jeremy only said the Swift thing is very interesting and we will keep close eye on it and consider use it in the course.

So basically, nothing promised for v4.



I was in the live version of the most recent course. The last two weeks were guest lectured by Chris Lattner on Swift for TensorFlow.

Edit: this appears to be a link to Part 1 which was released in January (and is excellent). The s4tf portion was in part 2 which should be released publicly sometime this month.


Interesting, do you have a link to the lecture?

IIRC fastai transitioned from keras/tf to pytorch while back so I don't understand what's happening now


- the 2017 course was keras/tf (+ a little pytorch once Jeremy hit the limits of keras)

- the 2018 course is pytorch.

- the 2019 course (part 2) is vanilla python, and then the last couple of classes re-build everything using swift.

The lectures will be released soon.


I'm not sure what to think:

"The combination of Python, PyTorch, and fastai is working really well for us, and for our community. We have many ongoing projects using fastai for PyTorch [...] This stack will remain the main focus of our teaching and development.

It is very early days for Swift for TensorFlow. We definitely don’t recommend anyone tries to switch all their deep learning projects [...]"


> - the 2019 course (part 2) is vanilla python, and then the last couple of classes re-build everything using swift.

Implementation in vanilla python seems exciting. Do you any idea when lectures will be released?

I was a bit put off by the use of fastai library in 2019 part 1 course mostly because library makes it sound too simple.


Per closing paragraph of https://www.fast.ai/2019/03/06/fastai-swift/, part 2 is scheduled for sometime this month.




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