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javascript - Get the layers from one model and assign it to another model

asked Oct 24, 2021 in Technique[技术] by 深蓝 (71.8m points)

javascript - Get the layers from one model and assign it to another model

Given a model created using tf.sequential(), is it possible to get the layers and to use them to create another model using tf.model() ?

const model = tf.sequential();
model.add(tf.layers.dense({units: 32, inputShape: [50]}));
model.add(tf.layers.dense({units: 4}));

// get the layers
 layers
// use the layers to create another model
tf.model({layers})

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1 Answer

answered Oct 24, 2021 by 深蓝 (71.8m points)

To get the layers of the model created using tf.sequential, one needs to use the property layers of the model

const model = tf.sequential();

// first layer
model.add(tf.layers.dense({units: 32, inputShape: [50]}));
// second layer
model.add(tf.layers.dense({units: 4}));

// get all the layers of the model
const layers = model.layers

// second model
const model2 = tf.model({
  inputs: layers[0].input, 
  outputs: layers[1].output
})

model2.predict(tf.randomNormal([1, 50])).print()

<html>
  <head>
    <!-- Load TensorFlow.js -->
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]"> </script>
  </head>

  <body>
  </body>
</html>

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