I converted a pretrained keras model to use it with Tensorflow.js following the steps in this guide
Now, when I try to import it to javascript using
const model = tf.loadModel("{% static "keras/model.json" %}");
The following error shows up:
Uncaught (in promise) Error: Unknown layer: GaussianNoise. This may be due to one of the following reasons:
1. The layer is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2. The custom layer is defined in JavaScript, but is not registered properly with
tf.serialization.registerClass().
at new t (errors.ts:48)
at deserializeKerasObject (generic_utils.ts:239)
at deserialize (serialization.ts:31)
at t.fromConfig (models.ts:940)
at deserializeKerasObject (generic_utils.ts:274)
at deserialize (serialization.ts:31)
at models.ts:302
at common.ts:14
at Object.next (common.ts:14)
at i (common.ts:14)
I'm using 0.15.3 version of Tensorflow.js, imported this way:
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
I trained my neural network with Tensorflow 1.12.0 and Keras 2.2.4
