thank you sir.
@rachel @jeremy if i’m writing a blog post on this, Can i use the notebook link i.e the fast ai v3 repo or should i just individually use the code and respective docs?
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Perhaps post a draft here first of your post?
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I don’t currently have permission to edit this wiki post (perhaps this account needs more trust level?)
The Platform: Sagemaker link currently points to: https://forums.fast.ai/t/lesson-1-class-discussion-and-resources/27332/3
Could we please point it at: https://forums.fast.ai/t/platform-sagemaker/27333 ?
My fault for forgetting to make it a wiki. Fixed now. Do you mind trying again?
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Works perfectly now, thanks Jeremy.
I am looking into the installation instructions for Google Compute Platform. Specifically, I followed the link in “To install on MacOS, follow the instructions detailed in points 1 to 4 here” under “Step 2: Install Google CLI” on Mac.
The first step under “Before you Begin” says to make sure python 2.7 is installed on your system, but there is also a note saying " Note: As of Cloud SDK version 206.0.0, the gcloud CLI has experimental support for running using a Python 3.4+ interpreter (run gcloud topic startup for exclusions and more information on configuring your Python interpreter). All other Cloud SDK tools still require a Python 2.7 interpreter."
I am using python 3.6. In light of the note will I be okay to use Google Compute Platform anyway?
Apologies for already posting this question once in “Lesson 1: Class Discussion and Resources,” but I learned that this is the more appropriate thread.
I am sorry about the confusion. Could you try this guide instead with Python 3.6?
I think it should work but let me know if it doesn’t.
@areevesman I think this is the correct thread https://forums.fast.ai/t/platform-gcp/27375?u=raghavab1992 to get this adressed
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Wasn’t sure where to mention this but http://course-v3.fast.ai/start_gcp.html
Step 4: the file dir seems to have changed and this:
cd tutorials/fastai/course-v3
git checkout .
git pull
…no longer works and as such is obv no longer a git repo.
Would be good to get a steer also on where I should mention these corrections going forward if this is wrong place 
Yup fixed that earlier today - thanks. Better places to mention are Platform: GCP ✅ , or best is a PR to GitHub - fastai/course-v3: The 3rd edition of course.fast.ai
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I am trying to run the pets-notebook and I encounter the following error:
----> 1 learn = ConvLearner(data, models.resnet34, metrics=error_rate) AttributeError: module 'fastai.vision.models' has no attribute 'resnet34'
Any ideas?
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This error is speficially mentioned in the FAQ. Don’t forget to check it, or do a quick search on the forum before posting!
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Any chance you might include a lesson on Text to Speech? I find Deep Voice 3 fascinating
I’ve been try out a couple of open source implementations which work pretty, it would be nice to understand more about how they work…
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Yes I’d like to in part 2.
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FAIR released faster R-CNN and Mask R-CNN for pytorch 1.0, if anyone is interested. Good place to take a look until we go over it in the course (I’d guess part 2).
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Try to look and see if there is a course-v3 folder under under the home directory with ls.
understood - thanks for clarification.
Just wanted to understand whether building out following capability possible via fastai library. i know after going through the v3 docs that it has support for image and video but still little bit confused as to how to approach the solution. Following is the link.
Any help in this regard would be appreciated.
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