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Learning Tensorflow.js with Gant Laborde
Manage episode 306693776 series 1433944
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 Laborde is Chief Innovation Officer at Infinite Red, a React Native consulting team and the author of Learning TensorFlow.js: Powerful Machine Learning in JavaScript from O’Reilly. In this interview, we explore use cases for Tensorflow.js.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post Learning Tensorflow.js with Gant Laborde appeared first on Software Engineering Daily.
175 episódios
Manage episode 306693776 series 1433944
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 Laborde is Chief Innovation Officer at Infinite Red, a React Native consulting team and the author of Learning TensorFlow.js: Powerful Machine Learning in JavaScript from O’Reilly. In this interview, we explore use cases for Tensorflow.js.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post Learning Tensorflow.js with Gant Laborde appeared first on Software Engineering Daily.
175 episódios
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