Lesson 1 Discussion ✅

(Jörg Simon) #43

I had a problem with Safari on macOS Mojave, but it worked on chrome with high Sierra (the computer next to that one xD)

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(Victor) #44

of course sir

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(Stas Bekman) #45

@jeremy , the flood light is too strong on your face in the video, you’re overexposed

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(Fred Guth) #46

untar_data is in fastai.datasets, can you check which specific version do you have?

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(David Pfahler) #47

I think @jeremy will recommend listening instead of following along during the lectures, so don’t sweat getting the dataset or setup done now.

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(Kofi Asiedu Brempong) #48

have you been able to fix it

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(Victor) #49

1.0.2 version Sir

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#50

That’s too low. You need 1.0.11 :wink:

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(Alexander) #51

I had 1.0.5 To fix I did:

pip3 install --upgrade fastai

Restart your Jupyter notebook. WFM.

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(Victor) #52

thank you sir

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(Even Oldridge) #53

Wow, energy in the room is palatable! How many are taking the course live?

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#54

conda update fastai is the preferred method for updating.

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(Scott H Hawley) #55

Probably should have done this already: Installing the fast.ai library,…

Are we still supposed to use v 0.7.x (as the GitHub page says), or is there some secret version 3 of the library around?

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(Alexander) #56

That is if you are using conda though. Some of us aren’t. :slight_smile:

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(Jörg Simon) #57

it’s based on version 1

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(Pierre Ouannes) #58

You’re supposed to use v1 of fastai, see http://course-v3.fast.ai/index.html

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#59

You should follow the tutorial corresponding to the platform you like the most, Jeremy will explain all of this in a minute. But you’ll need the latest version.

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(Alexander) #60

You want the nightly updates (v1.0.X)

The 0.7.x was for the older course.

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(Ilia) #64

If you want to have the most recent version with all updates, probably it is worth to try install from master, as it is described on the repo’s page, something like:

$ git clone https://github.com/fastai/fastai repo
$ cd repo
$ source activate fastai
$ pip install -e .
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(Pierre Ouannes) #65

I’m getting a 404 error on the docs of fast.ai (training and applications folder)

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