In this video, you will learn about the TensorFlow.js ecosystem: how to bring an existing ML model into your JS app and re-train the model using your data. We’ll also go over our efforts beyond the browser to bring ML to platforms such as React Native, Raspberry Pi, and Electron, and we’ll do a live demo of some of our favorite and unique applications!
Machine Learning is a powerful tool that offers unique opportunities for JavaScript developers. This is why we created TensorFlow.js, a library for training and deploying ML models in the browser and in Node.js.
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Further reading
☞ Complete Guide to TensorFlow for Deep Learning with Python
☞ TensorFlow is dead, long live TensorFlow!
☞ Deep Learning With TensorFlow 2.0
☞ A Beginners Guide for Building Neural Networks in Tensorflow
Top comments (1)
Hi, the #discuss tag is probably inappropriate for this post, you're also talking about Tensor Flow JS but tagging it #python.
Removing those and adding the #javascript tag would make it also easier for your content to be better categorized