What are some advanced features of TensorFlow.js?
TensorFlow.js offers features like transfer learning, custom layers, and model optimization for web applications.
Can you explain transfer learning in TensorFlow.js?
Transfer learning allows you to take a pre-trained model and fine-tune it on a new dataset, saving time and resources.
What about custom layers? How do I create one?
You can create custom layers by extending the Layer class and defining your own forward and backward methods.
Are there any tools for model optimization?
Yes, TensorFlow.js provides tools like the TensorFlow Model Optimization Toolkit to help reduce model size and improve performance.
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