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TensorFlow.js quiz

Test your TensorFlow.js knowledge with a free interactive quiz — 20 questions with answers and explanations. No signup needed to play.

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What are pre-built models like MobileNet, PoseNet, and BlazeFace in the TensorFlow.js ecosystem?

In this round
  1. What are pre-built models like MobileNet, PoseNet, and BlazeFace in the TensorFlow.js ecosystem?
  2. How do you install TensorFlow.js for use in Node.js?
  3. How do you convert a tensor's data into a regular JavaScript array/number to actually use its values?
  4. What does `tensor.dispose()` do, and why is it necessary?
  5. How do you load a pretrained model in TensorFlow.js?
  6. How do you define a simple sequential neural network model in TensorFlow.js?
  7. What is `tf.data` used for?
  8. What is a practical advantage of running ML inference client-side (in the browser) with TensorFlow.js, versus sending data to a server for inference?
  9. What is transfer learning in the context of TensorFlow.js, and why is it commonly used?
  10. How do you run inference (get a prediction) from a loaded model?
  11. How do you train a model in TensorFlow.js?
  12. What does `tf.tidy(() => { ... })` do?
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