Invention Grant
- Patent Title: Cloud based machine learning
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Application No.: US16147105Application Date: 2018-09-28
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Publication No.: US11334815B1Publication Date: 2022-05-17
- Inventor: Eric Buehl , Jordan Hurwitz , Sergey Tulyakov , Shubham Vij
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L29/08 ; H04L67/10

Abstract:
Disclosed are various embodiments for implementing computational tasks in a cloud environment in one or more operating system level virtualized containers. A parameter file can specify different parameters including hardware parameters, library parameters, user code parameters, and job parameters (e.g., sets of hyperparameters). The parameter file can be converted via a mapping and implemented in a cloud-based container platform.
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