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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 ...

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.

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 ...

​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 ...

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

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 ...

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.

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 …

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 ...

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

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' ...

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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 ...