Let's introduce the concept of client-side artificial neural networks, which will lead us to deploying and running models, along with our full deep learning applications, in the browser. To implement this cool capability, we'll be using TensorFlow.js (TFJS), TensorFlow's Javascript library, which will allow us to build and access models in Javascript.
Deploy Keras Model to Web Service series:
• Deploy Keras Neural Network to Flask ...
TensorFlow.js projects:
PoseNet code: https://github.com/tensorflow/tfjs-mo...
Emoji Svavenger Hunt code: https://github.com/google/emoji-scave...
Emoji Svavenger Hunt video: • Emoji Scavenger Hunt
Performance RNN code: https://github.com/tensorflow/magenta...
Performance RNN demo: https://magenta.tensorflow.org/demos/...
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