Adam Gibson
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| title | conference | date |
|---|---|---|
| Deploying & serving optimized ML pipelines using graalvm | Scale By the Bay 2021 | 2021-10-28 |
Claims that GraalVM plus Eclipse Deeplearning4j and JavaCPP compiles an entire ML pipeline — Python preprocessing, optimized operators, and native math… | ||
| Deeplearning4j: How to run AI workloads on Jakarta EE compliant servers | Open Source AI Workshop S1E2 | 2020-09-30 |
DL4J claims an enterprise runtime that runs and monitors models on JVM servers, Android and IoT, and is already used by more than half of the Fortune 500 with… | ||
| #6 Open Source Forum 2019 Adam Gibson | Open Source Forum 2019 | 2019-12-16 |
Overview of concrete engineering issues: claims that framework choice has consolidated to a TensorFlow/PyTorch duopoly but both are C/C++ codebases under… | ||
| Applying Machine Learning to IoT Use Cases with Deeplearning4j | Eclipse IoT Day Santa Clara 2019 | 2019-05-13 |
Explains that Deeplearning4j targets the JVM and production use: model development with Java-based tensors, deployment on Raspberry Pi and Jetson, and Spark… | ||
| Deep Learning in Production | Devoxx US 2017 | 2017-03-21 |
Walkthrough of a JVM-first deep learning stack that trains on GPUs and serves models as Java microservices: Deeplearning4j with ND4J/LibND4J (links to cuDNN… | ||
| Deep Learning with the GPUs in Production | AI By the Bay 2017 | 2017-03-06 |
This talk video is a node in devreal.ai, the developer community graph.
It connects to:
Talk: Deep Learning with the GPUs in Productio... —… | ||
| Adam Gibson Interview | AI By the Bay 2017 | 2017-03-06 |
AI splits into subfields with production work defaulting to machine learning and deep learning; Skymind focuses on deploying models for Fortune 2000 customers… | ||
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