TensorFlow.js quiz

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

How do you define a simple sequential neural network model in TensorFlow.js?

1. How do you define a simple sequential neural network model in TensorFlow.js?
2. How do you train a model in TensorFlow.js?
3. What is `tf.data` used for?
4. What is TensorFlow.js?
5. What is transfer learning in the context of TensorFlow.js, and why is it commonly used?
6. How do you convert a tensor's data into a regular JavaScript array/number to actually use its values?
7. What are pre-built models like MobileNet, PoseNet, and BlazeFace in the TensorFlow.js ecosystem?
8. What does `tensor.dispose()` do, and why is it necessary?
9. What does `tf.tidy(() => { ... })` do?
10. 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?
11. How do you run inference (get a prediction) from a loaded model?
12. What backends can TensorFlow.js run computations on?

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