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Discover Ludwig"deep network" is correct and usable in written English.
It is a term used in computer science and artificial intelligence to refer to a type of neural network which is composed of multiple layers. For example, a "deep network" can be used for applications such as image recognition and natural language processing.
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Is there a deep network of suppliers?
This deep network model can be trained efficiently.
Edwards is right to acknowledge the deep network attached to success.
It's impossible to do this without help from a deep network".
Ioffe, S. & Szegedy, C. Batch normalization: Accelerating deep network training by reducing internal covariate shift.
Ioffe, S. & Szegedy, C. Batch normalization: accelerating deep network training by reducing internal covariate shift.
The quantization errors and the prediction errors jointly guide the learning of the deep network.
With a deep network of contacts in the pharmaceutical and biotech fields, Mr. Martoma made a mark at CR Intrinsic.
Students have access to a deep network of professional contacts through alumni, faculty, and associated health-service organizations.
The properties of convolutional filters in a trained deep network directly affect the quality of the feature representation being learned.
Peterson, J. C., Abbott, J. T., & Griffiths, T. L. Adapting deep network features to capture psychological representations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com