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Discover Ludwig'deep learning framework' is a correct and usable phrase in written English.
You can use it to refer to an overarching system of algorithms, software, and models used to develop artificial intelligence. For example, "I am researching different deep learning frameworks to incorporate into our AI project."
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Already, Tensorflow, the most popular deep learning framework, supports reusing an entire subgraph component.
By employing the proposed deep learning framework, a high accuracy of 91.50% was achieved.
In this paper, we adopt a deep learning framework for the illumination estimation problem.
A novel deep learning framework is proposed to detect and classify islanding or grid disturbance.
This paper proposes a deep learning framework for 3D face reconstruction.
In this work we present a deep learning framework for video compressive sensing.
In this paper, we propose CAST, a novel Context-Aware Stereotypical Trust deep learning framework.
Today there are many existing open-source RL libraries, each typically specialized for a particular deep learning framework (e.g., PyTorch).
Since the class encapsulates all neural net interactions, any deep learning framework can be used to define the methods.
This paper proposes a novel echo state network (ESN) architecture in a deep learning framework for time series prediction.
Caffe is a deep learning framework made with expression, speed, and modularity in mind, developed by Berkeley AI Research BAIRR) and by community contributors.
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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