Technology
Machine learning models must first be trained. That training results in a model which must be serialized or packaged up in some way as a deployment artifact. A popular deployment path is using Tensorflow.js to take advantage of the portability of JavaScript, allowing your model to be run on a web server or client. Gant The post Learning Tensorflow.js with Gant Laborde appeared first on Software Engineering Daily.