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A Deep Learning Architecture for Identification of Patient Notes: Implementation and Evaluation Keying Khin1Philipp Burckhardt2Rema Padman3arXiv:1810.01570v1 cs. CL 3 Oct 2018kkhin1, pburckhardt2,
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What is a deep learning architecture?
A deep learning architecture is a type of artificial neural network that is designed to learn and make predictions from large amounts of data.
Who is required to file a deep learning architecture?
Anyone who is developing or using a deep learning architecture for a specific purpose may be required to file it.
How to fill out a deep learning architecture?
To fill out a deep learning architecture, you need to provide information about the model structure, training data, evaluation metrics, and any specific requirements for the project.
What is the purpose of a deep learning architecture?
The purpose of a deep learning architecture is to enable machines to learn and make decisions without being explicitly programmed.
What information must be reported on a deep learning architecture?
The information that must be reported on a deep learning architecture includes the model architecture, training process, evaluation results, and any specific considerations or limitations.
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