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fastai.jl's Introduction

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This code is inspired by fastai, but differs in implementation in several ways. Most importantly, the original Python code makes heavy use of side-effects where the Learner holds different state variables, and other objects access and modify them.

This has been replaced by a more functional design. The state is now transmitted via arguments to Callbacks which may then pass them on to Metrics.

Note: this is a package in-development. Expect breaking changes for the foreseeable future, but we want you to test out the package by following the documentation. Any contributions are welcome via PRs/issues.

Much of the documentation has been copied from the original Python, and modified where appropriate.

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