course-v3 | The 3rd edition of course.fast.ai | Machine Learning library

by fastai Jupyter Notebook Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | course-v3 Summary

course-v3 is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. course-v3 has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The 3rd edition of course.fast.ai

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Support

course-v3 has a medium active ecosystem.

It has 4875 star(s) with 3624 fork(s). There are 231 watchers for this library.

It had no major release in the last 6 months.

There are 45 open issues and 115 have been closed. On average issues are closed in 66 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of course-v3 is current.

Quality

course-v3 has no bugs reported.

Security

course-v3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

course-v3 is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

course-v3 releases are not available. You will need to build from source code and install.

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course-v3 Key Features

No Key Features are available at this moment for course-v3.

course-v3 Examples and Code Snippets

No Code Snippets are available at this moment for course-v3.

Community Discussions

Trending Discussions on course-v3

How do I serialize an NLP classification PyTorch model

question with fast.ai course lesson 8 g attribute

QUESTION

How do I serialize an NLP classification PyTorch model

Asked 2020-May-21 at 03:40

I am attempting to use a new NLP model within the PyTorch android demo app Demo App Git however I am struggling to serialize the model so that it works with Android.

The demonstration given by PyTorch is as follows for a Resnet model:

...

ANSWER

Answered 2020-May-21 at 03:40

I worked out how to do this after a while. The issue was that the Fastai model wasn't tracing correctly no matter what shape of input I was using.

In the end, I used another text classification model and got it to work. I wrote a tutorial about how I did it, in case it can help anyone else.

NLP PyTorch Tracing Tutorial

Begin by opening a new Jupyter Python Notebook using your preferred cloud machine provider (I use Paperspace).

Next, copy and run the code in the PyTorch Text Classification tutorial. But replace the line…

Source https://stackoverflow.com/questions/60181107

QUESTION

question with fast.ai course lesson 8 g attribute

Asked 2020-Apr-26 at 11:39

In the course fast.ai 2019 lesson 8, there is a weird g attribute used in back propagation, which i check for torch.Tensor this attribute doesn't exist. I tried to print the value of inp.g/out.g in call method but i got AttributeError: 'Tensor' object has no attribute 'g', but i am able to obtain the inp.g/out.g value before the assignment in backward, how does this g attribute works?

...

ANSWER

Answered 2020-Apr-26 at 11:39

basically this has to deal with how python assignments works (pointers, similar to how C pointers works). after tracing the variables with id(variable name) i am able to figure out how things the g attribute comeby.

Source https://stackoverflow.com/questions/61429085

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install course-v3

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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