Multi-Modal Construction of Deep Learning Networks

Multi-Modal Construction of Deep Learning Networks

Methods, systems, and computer program products for multi-modal construction of deep learning networks are provided herein. A computer-implemented method includes extracting, from user-provided multi-modal inputs, one or more items related to generating a deep learning network; generating a deep lea...

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Hauptverfasser: AR, Rahul, Mani, Senthil Kk, Panwar, Naveen, Gantayat, Neelamadhav, Khare, Shreya, Sankaran, Anush
Format: Patent
Sprache:eng
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CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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creator AR, Rahul
Mani, Senthil Kk
Panwar, Naveen
Gantayat, Neelamadhav
Khare, Shreya
Sankaran, Anush
description Methods, systems, and computer program products for multi-modal construction of deep learning networks are provided herein. A computer-implemented method includes extracting, from user-provided multi-modal inputs, one or more items related to generating a deep learning network; generating a deep learning network model, wherein said generating comprises inferring multiple details attributed to the deep learning network model based on the one or more extracted items; creating an intermediate representation based on the deep learning network model, wherein the intermediate representation comprises (i) one or more items of data pertaining to the deep learning network model and (ii) one or more design details attributed to the deep learning network model; automatically converting the intermediate representation into source code; and outputting the source code to at least one user.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Multi-Modal Construction of Deep Learning Networks
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