Training TensorFlow.js Models With IBM Watson

Recently, Google introduced TensorFlow.js, which is a JavaScript library for training and deploying machine learning models in browsers and on Node.js. I especially like the ability to run predictions in browsers. Since running this code locally saves the remote calls to servers, the performance is amazing! TensorFlow.js even allows the training of models in browsers via WebGL. While for smaller models the training is fast, it doesn't work well for larger models. That's why I describe in this article how to use Watson Machine Learning, which is part of Watson Studio, to train models in the cloud leveraging multiple GPUs.

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ai,artificial intelligence,tensorflow,ibm watson,javascript libraries,ai artificial intelligence