Real-Time Object Detection with TensorFlow.js workshop

In this workshop, you’ll build an app that lets you use your own custom-trained models to detect objects. You’ll create an IBM Cloud Object Storage instance to store your labeled data, then after your data is ready, you’ll learn how to start a Watson Machine Learning instance to train your own custom model on top-of-the-line GPUs. After your model has completed training, you can simply plug the model into your application.


Nicholas Bourdakos

Nick is a developer advocate at IBM Watson in NYC. His expertise is in machine learning, mainly deep learning applied to Computer Vision problems. He started out as an Android developer, but also does Swift, Python and JavaScript / React development.

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Real-Time Object Detection with TensorFlow.js

In this workshop, you’ll build an app that lets you use your own custom-trained models to detect objects. You’ll create an IBM Cloud Object Storage instance to store your labeled data, then after your data is ready, you’ll learn how to start a Watson Machine Learning instance to train your own custom model on top-of-the-line GPUs. After your model has completed training, you can simply plug the model into your application.

Nicholas Bourdakos

Nick is a developer advocate at IBM Watson in NYC. His expertise is in machine learning, mainly deep learning applied to Computer Vision problems. He started out as an Android developer, but also does Swift, Python and JavaScript / React development.

← Back to speakers

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