Fast.ai Part 2: Deep Learning from the Foundations
course.fast.ai
Fast.ai Part 2: Deep Learning from the Foundations
1–10 of 33 posts
Re: Fast.ai Part 2: Deep Learning from the Foundations
#2Finally, it's here
Re: Fast.ai Part 2: Deep Learning from the Foundations
#3Great, thank you so much, Jeremy.
One question, will a new version of the Machine learning course be made?
Re: Fast.ai Part 2: Deep Learning from the Foundations
#4I had the pleasure of participating in the synchronous live-stream of the course and loved it.
Looking forward to the release of v2 of the library that was prototyped during the course!
Re: Fast.ai Part 2: Deep Learning from the Foundations
#5I'm excited to see a couple lectures with Swift. All the work to add interoperability with Python and make swift-jupyter is very appreciated and feels like it's Xmas in June.
Re: Fast.ai Part 2: Deep Learning from the Foundations
#6I've never used swift before, is much of a difference from python? I like fastai cause was made with python logic.
In the other hand, I'm very exited to try the audio features
Re: Fast.ai Part 2: Deep Learning from the Foundations
#7Can someone who has completed Fast.ai courses comment on the experience and then how you used the newly gained knowledge?
Re: Fast.ai Part 2: Deep Learning from the Foundations
#8Can someone who has completed Fast.ai courses comment on the experience and then how you used the newly gained knowledge?
I started using the techniques immediately, for applicable deep learning and NLP projects. There's no need to finish the entire course to get some actionable rapid prototyping done. Each lecture is nearly self contained once you're comfortable with the basics.
Re: Fast.ai Part 2: Deep Learning from the Foundations
#9Can someone who has completed Fast.ai courses comment on the experience and then how you used the newly gained knowledge?
I started using the techniques immediately, for applicable deep learning and NLP projects. There's no need to finish the entire course to get some actionable rapid prototyping done. Each lecture is nearly self contained once you're comfortable with the basics.
Thanks! Was this for work or personal use?
Re: Fast.ai Part 2: Deep Learning from the Foundations
#10I'm excited to see a couple lectures with Swift. All the work to add interoperability with Python and make swift-jupyter is very appreciated and feels like it's Xmas in June.
Why would you need Swift in Jupyter?
Just implement your model's architecture in Python. Export it. Invoke it at runtime via Swift and TF.