The added layer must be an instance of class Layer. Found: <tensorflow.python.keras.engine.input_layer.InputLayer>

Question

I am new to machine learning. I was following this tutorial on fine-tuning VGG16 models.

The model loaded fine with this code:

vgg_model = tensorflow.keras.applications.vgg16.VGG16()

but gets this ERROR:

TypeError: The added layer must be an instance of class Layer. Found: <tensorflow.python.keras.engine.input_layer.InputLayer object at 0x000001FA104CBB70>

When running this code:

model = Sequential()
for layer in vgg_model.layers[:-1]:
    model.add(layer)

Dependencies:

• Keras 2.2.3
• Tensorflow 1.12.0
• tensorflow-gpu1.12.0
• Python 3.6.0

I am following this blog but instead, I want to use VGG16.

Any help to fix this would be appreciated. Thank you so much.

Answer 1

This won't work because a tensorflow.keras layer is getting added to a keras Model.

vgg_model = tensorflow.keras.applications.vgg16.VGG16()
model = keras.Sequential()
model.add(vgg_model.layers[0])

Instantiate tensorflow.keras.Sequential(). This will work.

model = tensorflow.keras.Sequential()
model.add(vgg_model.layers[0])