hub_image_embedding_column: Module to construct a dense 1-D representation from the...
In tfhub: Interface to 'TensorFlow' Hub
Description
Usage
Arguments
Details
Description
Module to construct a dense 1-D representation from the pixels of images.
Usage
1
hub_image_embedding_column(key, module_spec)
Arguments
key
A string or [feature_column](https://tensorflow.rstudio.com/tfestimators/articles/feature_columns.html)
identifying the text feature.
module_spec
A string handle or a _ModuleSpec identifying the module.
Details
This feature column can be used on images, represented as float32 tensors of RGB pixel
data in the range [0,1].
tfhub documentation built on Dec. 19, 2021, 9:07 a.m.
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Description Usage Arguments Details
Description
Module to construct a dense 1-D representation from the pixels of images.
Usage
1 | hub_image_embedding_column(key, module_spec)
|
Arguments
key |
A string or [feature_column](https://tensorflow.rstudio.com/tfestimators/articles/feature_columns.html) identifying the text feature. |
module_spec |
A string handle or a _ModuleSpec identifying the module. |
Details
This feature column can be used on images, represented as float32 tensors of RGB pixel data in the range [0,1].
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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