Error: Unknown layer: Functional. This may be due to one of the following reasons

I am new to the TensorFlow and JS. I was trying to convert the MobileNet V2 model from keras to tensorflow.js When I try to load model into JS, I get the following error:

`errors.ts:48 Uncaught (in promise) Error: Unknown layer: Functional. 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 e (errors.ts:48) at Rp (generic_utils.ts:242) at cd (serialization.ts:31) at e.fromConfig (models.ts:942) at Rp (generic_utils.ts:277) at cd (serialization.ts:31) at models.ts:300 at common.ts:14 at Object.next (common.ts:14) at a (common.ts:14)`

I construct my model with a MobileNet V2 pre-trained model and add two layers on top of it. And I convert the model using tensorflowjs_converter with a saved h5 file of the model. Here is my model summary. The mobilenetv2_1.00_160 with a type of functional and I believed is the cause of the error.

Model: “sequential” Layer (type)// Output Shape// Param #
######################################################### mobilenetv2_1.00_160 (Functi (None, 5, 5, 1280)// 2257984
######################################################### global_average_pooling2d (Gl (None, 1280) 0
#########################################################

dense (Dense) (None, 3755) 4810155
######################################################### Total params: 7,068,139 Trainable params: 7,034,027 Non-trainable params: 34,112 #########################################################

[lospericos]

I had an issue like this albeit im using MobileNet not v2. I don’t have the specific link, but a stack overflow thread somewhere said to go into the public/model.json folder and ctrl+f “Functional” and replace the word with “Model”. worked for me!

[KailiangGu]

Replace the “Functional” with “Model” indeed solve this error. However, it also gives me the new error as following:

Uncaught (in promise) Error: computeMask has not been implemented for Merge yet