Vizualization on Squeezedet

[alexandruvesa]

Hello Everybody,
I'm trying to vizualize some representations.

`import numpy as np
import random
from tensorflow.keras.preprocessing.image import img_to_array, load_img
from tensorflow.keras import layers,models
from keras.preprocessing.image import ImageDataGenerator
import tensorflow as tf

successive_outputs = [layer.output for layer in squeeze.model.layers[1:]]
visualization_model = tf.keras.Model(inputs = squeeze.model.input, outputs = successive_outputs)`

When visualization_model is called the following error comes:
`
visualization_model = tf.keras.Model(inputs = squeeze.model.input, outputs = successive_outputs)
Traceback (most recent call last):

File "", line 1, in
visualization_model = tf.keras.Model(inputs = squeeze.model.input, outputs = successive_outputs)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\training.py", line 121, in init
super(Model, self).init(*args, **kwargs)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\network.py", line 81, in init
self._init_graph_network(*args, **kwargs)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpointable\base.py", line 442, in _method_wrapper
method(self, *args, **kwargs)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\network.py", line 227, in _init_graph_network
self._track_layers(layers)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\network.py", line 327, in _track_layers
layer, name='layer-%d' % layer_index, overwrite=True)

File "C:\ICMS\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpointable\base.py", line 688, in _track_checkpointable
"Checkpointable.") % (type(checkpointable),))

TypeError: Checkpointable._track_checkpointable() passed type <class 'keras.engine.input_layer.InputLayer'>, not a Checkpointable.`

Thanks a lot for help.