JavaScript Congress • Nov 25, 2021

Making neural networks portable with ONNX

Ron Dagdag

Struggling to deploy Python models in Java or JavaScript? ONNX acts as a universal translator for neural networks. Decouple training from deployment and ship AI to the edge seamlessly.

Starting at 2:01 · Watch from the beginning

Making neural networks portable with ONNX thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

2:57 min

Standardizing interoperable model deployments with the ONNX framework

Jose Luis Latorre Millas · LIVE

1:55 min

Exporting framework independent representations for edge processing platforms

Nico Schmidt · LIVE

2:15 min

Open-source community and machine learning frameworks

Gian Marco Iodice Gian Marco Iodice · World Congress 2025

2:46 min

Leveraging ONNX Runtime Web for local model execution

Maxim Salnikov Maxim Salnikov · World Congress 2025

4:47 min

Exporting and evaluating learned ONNX models

Marco Zamana · LIVE

57 sec

Comparing ONNX runtime web and TensorFlow deployments

Jason Mayes · Coffee With Developers

Upcoming sessions on this topic

Open session

Built-In AI in the Browser: Practical Capabilities for Modern Web Apps

  • Piyush Gupta

    Expedia

    Senior Engineering Manager

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

Build Otto: Ship an AI Agent Without Redeploying

  • Abhishek Hiremath

    LaunchDarkly

    Senior Solutions Engineers