What is model distillation in TensorFlow.js?
An example of an AI chatbot conversation about model distillation in TensorFlow.js.
What is model distillation in TensorFlow.js?
Model distillation is a technique to compress a large model into a smaller one while retaining its performance.
How does model distillation work in practice?
In practice, a smaller 'student' model is trained to mimic the outputs of a larger 'teacher' model, often using soft labels.
What are the benefits of using model distillation?
Benefits include reduced model size, faster inference times, and lower resource consumption, making it ideal for web applications.
Can you provide an example of model distillation in TensorFlow.js?
Sure! You can use the TensorFlow.js library to implement distillation by training a smaller model on the predictions of a larger model.
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