What are some advanced techniques in TensorFlow.js?

What are some advanced techniques in TensorFlow.js?

TensorFlow.js offers several advanced techniques like transfer learning, custom layers, and model optimization. Would you like to dive into any specific technique?

Can you explain transfer learning in TensorFlow.js?

Sure! Transfer learning allows you to take a pre-trained model and fine-tune it on a new dataset. This is especially useful when you have limited data.

How do I implement a custom layer?

To implement a custom layer, you can extend the Layer class and define your own forward and backward methods. Would you like a code example?

Yes, please provide a code example for a custom layer.

Here's a simple example of a custom layer that adds a constant value to the input:

class MyCustomLayer extends tf.layers.Layer {
  constructor(config) {
    super(config);
    this.constant = config.constant;
  }

  call(inputs) {
    return inputs.add(this.constant);
  }
}

This layer adds a constant value to the input tensor.