Lesson 1 official topic

Part 1 2022
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How to use vision_learner to use latest computer vision models?

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Pass a string of the name of the pretrained model from timm… See the example at the bottom of https://timm.fast.ai

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I’m one of the live TA’s. If you have any issues or would like any help…please “@” me and I’ll do my best to help!

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Could be mercury → Interactive Presentation - a Hugging Face Space by pplonski

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Jeremy says you learn best when you read the questionnaire first. Is this the questionnaire for lesson 1?

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To anyone that might feel a bit uncomfortable with the top down learning methods:

I had written extensively about my struggles in “How not to do fastai”, I cover my pains of someone who studied in university-of how difficulty it was to learn something in top down fashion :smiley:

We had also shared this in a “reverse” interview where Jeremy kindly interviewed me. I hope this helps :pray:

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The questionnaire is in the book. Check the fastbook repo notebooks for the Jupyter notebook versions of the book.

Here is the chapter for lesson 1:

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Yes, Jeremy said the forum was overloaded at the start of the lecture.

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@n-e-w is it possible to sort this page by # likes? To select questions for pushing into the lecture?

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Thanks for your introduction. I saw both ‘bird.png’ and ‘bird.jpg’ in the presentation earlier. Just wanted to point it out.

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Is there somewhere I can get more info on the project which used recurrence plots as input to DL? (mentioned by Jeremy in the lecture just now; I missed if there was a reference)

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On the the topic of frameworks: I would love to hear how you feel about the JAX ecosystem and if you had a chance to play with it.

Thanks in advance!

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Are you referring to converting timeseries to images etc?

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Will come back to you on this one!

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Yes that one :slight_smile:

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Both of those examples are mentioned in the fastbook (nothing explicitly mentioned tonight)

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Can someone explain how AdamW code is implemented in fastai?

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It is explained in the fastai book in this chapter:

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That chai feeling when you see Jeremy sharing new Kaggle notebooks. :pray: :smiley:

That even more chai feeling when you realise he is 4 medals away from becoming a Notebooks grandmaster so we might get 4 more tutorials :pray:

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