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Book: Fix the link to burn-train in "Learner" page (#1920)
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Add the missing "crates/" to the link.

Co-authored-by: towerpark <t56ouhw1d@mozmail.com>
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towerpark and towerpark committed Jun 25, 2024
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# Learner

The [burn-train](https://github.com/tracel-ai/burn/tree/main/burn-train) crate encapsulates multiple
utilities for training deep learning models. The goal of the crate is to provide users with a
well-crafted and flexible training loop, so that projects do not have to write such components from
the ground up. Most of the interactions with `burn-train` will be with the `LearnerBuilder` struct,
briefly presented in the previous [training section](../basic-workflow/training.md). This struct
enables you to configure the training loop, offering support for registering metrics, enabling
logging, checkpointing states, using multiple devices, and so on.
The [burn-train](https://github.com/tracel-ai/burn/tree/main/crates/burn-train) crate encapsulates
multiple utilities for training deep learning models. The goal of the crate is to provide users with
a well-crafted and flexible training loop, so that projects do not have to write such components
from the ground up. Most of the interactions with `burn-train` will be with the `LearnerBuilder`
struct, briefly presented in the previous [training section](../basic-workflow/training.md). This
struct enables you to configure the training loop, offering support for registering metrics,
enabling logging, checkpointing states, using multiple devices, and so on.

There are still some assumptions in the current provided APIs, which may make them inappropriate for
your learning requirements. Indeed, they assume your model will learn from a training dataset and be
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