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website/docs/usage/layers-architectures.md
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@ -62,7 +62,7 @@ are: ​
| ~~Ints2d~~ | A two-dimensional `numpy` or `cupy` array of integers. Common dtypes include uint64, int32 and int8. | | ~~Ints2d~~ | A two-dimensional `numpy` or `cupy` array of integers. Common dtypes include uint64, int32 and int8. |
| ~~List[Floats2d]~~ | A list of two-dimensional arrays, generally with one array per `Doc` and one row per token. | | ~~List[Floats2d]~~ | A list of two-dimensional arrays, generally with one array per `Doc` and one row per token. |
| ~~Ragged~~ | A container to handle variable-length sequence data in an unpadded contiguous array. | | ~~Ragged~~ | A container to handle variable-length sequence data in an unpadded contiguous array. |
| ~~Padded~~ | A container to handle variable-length sequence data in a passed contiguous array. | | ~~Padded~~ | A container to handle variable-length sequence data in a padded contiguous array. |
The model type signatures help you figure out which model architectures and The model type signatures help you figure out which model architectures and
components can **fit together**. For instance, the components can **fit together**. For instance, the
@ -94,7 +94,7 @@ code.
## Defining sublayers {#sublayers} ## Defining sublayers {#sublayers}
​ Model architecture functions often accept **sublayers as arguments**, so that Model architecture functions often accept **sublayers as arguments**, so that
you can try **substituting a different layer** into the network. Depending on you can try **substituting a different layer** into the network. Depending on
how the architecture function is structured, you might be able to define your how the architecture function is structured, you might be able to define your
network structure entirely through the [config system](/usage/training#config), network structure entirely through the [config system](/usage/training#config),
@ -112,7 +112,7 @@ you can control this important part of the network separately. This makes it
easy to **switch between** transformer, CNN, BiLSTM or other feature extraction easy to **switch between** transformer, CNN, BiLSTM or other feature extraction
approaches. And if you want to define your own solution, all you need to do is approaches. And if you want to define your own solution, all you need to do is
register a ~~Model[List[Doc], List[Floats2d]]~~ architecture function, and register a ~~Model[List[Doc], List[Floats2d]]~~ architecture function, and
you'll be able to try it out in any of spaCy components. ​ you'll be able to try it out in any of the spaCy components. ​
<!-- TODO: example of switching sublayers --> <!-- TODO: example of switching sublayers -->