SkillsCast

TensorFlow.js : Bringing ML into the Browser?

apis javascript infiniteconf browser tensorflow.js machine-learning

5th July 2018 in London at CodeNode

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The numerics of machine learning seem like the least likely thing you would expect to run in a browser. The recently-released TensorFlow.js will provide exactly that, however. This Javascript implementation of the TensorFlow APIs is backed by GPU-accelerated WebGL and the optimizations available to modern Javascript engines.

Now, as our production systems become more distributed geographically, we can push some ML capabilities to the edge.

Imagine:

Reusing existing models in distributed and decentralized architectures
Image and object detection from local video streams
Event classification from IoT-based sensors
Interact with WebAssembly-optimized code on all browsers and platforms
Natural Language Processing of user text and audio

If models aren’t too big and can be cached, the Web architecture will happily support these new use cases.

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