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Process for contributing to the docs. Here is how you can contribute to the fastai documentation in just 4 steps.. Step 1. Create a fastai git branch. The process of creating a branch (with a fork), including a program that will do it for you in one step, and submitting the PR is explained in details in How to Make a Pull Request (PR). Step 2.

Note: This documentation is all built from notebooks; that means that you can try any of the code you see in any notebook yourself! You'll find the notebooks in ...

05.01.2021 · fastai is designed to support both interactive computing as well as traditional software development. For interactive computing, where convenience and speed of experimentation is a priority, data scientists often prefer to grab all the symbols they need, with import *.Therefore, fastai is designed to support this approach, without compromising on …

G'day gang, Just wondering if anyone is aware if Jeremy Howard's fast.ai MOOC has documentation on the fast.ai library? (pretty sure it was built by Rachel ...

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See the fast.ai documentation on Using Colab for more information. You can install fastai on your own machines with conda (highly recommended), as long as you' ...

The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices.

29.11.2021 · Create a DataLoaders object from source. You can create a DataBlock by passing functions: mnist = DataBlock(blocks = (ImageBlock(cls=PILImageBW),CategoryBlock), get_items = get_image_files, splitter = GrandparentSplitter(), get_y = parent_label) Each type comes with default transforms that will be applied. at the base level to create items in a ...

29.11.2021 · fastai's applications all use the same basic steps and code: Create appropriate DataLoaders. Create a Learner. Call a fit method. Make predictions or view results. In this quick start, we'll show these steps for a wide range of difference applications and datasets. As you'll see, the code in each case is extremely similar, despite the very ...

​fastai is a deep learning library that provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in ...

FastAI. Docs: Stable | Dev. FastAI.jl is inspired by fastai, and is a repository of best practices for deep learning in Julia. Its goal is to easily enable ...

Documentation for fastai. Contribute to fastai/fastai-docs development by creating an account on GitHub.

07.11.2021 · About fastai. fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.