What are the advanced features of TensorFlow.js?
TensorFlow.js offers features like transfer learning, model optimization, and support for custom layers.
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.
How do I optimize a model in TensorFlow.js?
You can optimize a model by using techniques like quantization, pruning, and using the TensorFlow.js converter.
What are custom layers and how do I create one?
Custom layers let you define your own layer types. You can create one by extending the Layer class and implementing the call method.
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