Unknown initializer: GlorotUniform when loading Keras model

Question

I trained my CNN (VGG) through google colab and generated .h5 file. Now problem is, I can predict my output successfully through google colab but when i download that .h5 tr

Answer 1

I fixed the problem:

Before:

from keras.models import load_model
classifierLoad = load_model('model/modeltest.h5')

Works for me

import tensorflow as tf 
classifierLoad = tf.keras.models.load_model('model/modeltest.h5')

Answer 2

I ran into the same issue. After changing:

from tensorflow import keras

to:

import keras

life is once again worth living.

Answer 3

from tensorflow.keras.initializers import glorot_uniform

loaded_model = tf.keras.models.load_model("pruned.h5",custom_objects={'GlorotUniform': glorot_uniform()})

this worked for me when importing tensorflow keras

Answer 4

if you are loading the architecture and weights separtly, while loading archtiecture of the model change :

models.model_from_json(json)

to :

tf.keras.models.model_from_json(json)

and the problem is solved

Answer 5

I had the same problem with a model built with tensorflow 1.11.0 (using tensorflow.python.keras.models.save_model) and loaded with tensoflow 1.11.0 (using tensorflow.python.keras.models.load_model).

I solved it by upgrading everything to tensorflow 1.13.1, after building the model again with the new version, I could load it without this error.

Answer 6

In either kaggle or colabs

tf.keras.models.load_model("model_path")

works well