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Nov 13, 2017 · import matplotlib.pyplot as plt import tensorflow as tf import numpy as np import math #from tf.keras.models import Sequential # This does not work! from keras.models import Sequential from keras.layers import InputLayer, Input from keras.layers import Reshape, MaxPooling2D from keras.layers import Conv2D, Dense, Flatten
import h5py if you dont have errors while importing h5py you are good to save: from keras.models import load_model model.save('my_model.h5') # creates a HDF5 file 'my_model.h5' del model # deletes the existing model # returns a compiled model # identical to the previous one model = load_model('my_model.h5')
I've installed keras 2.2.2 locally as well as Theano 1.0.2. I've set KERAS_BACKEND=theano in my .bash_profile and sourced it. I have a script with the line from keras.models import load_model in it and it errors out, telling me: ImportError: No module named keras.models. However, when I do: python from keras.models import load_model. it succeeds.
Jul 30, 2019 · 2. This could happen because you trained the model using tf.keras but you are not loading it with the standalone keras, both modules aren't compatible and you should only use one of them for your whole pipeline. u just highlighted the problem, u should have given the solution. Else ur answer is useless.
Mar 15, 2021 · In addition, please use the `custom_objects` arg when calling `load_model()`. I have been experimenting with using Python 3.7 to train the model and then IPython Anaconda Python 3.8 to load the model, would this have anything to do with the issue?
Nov 23, 2017 · To load the weights, you would first need to build your model, and then call load_weights on the model, as in. model.load_weights('my_model_weights.h5') Another saving technique is model.save(filepath). This save function saves: The architecture of the model, allowing to re-create the model. The weights of the model.
The import time is much faster. It works like this: This script will convert an hdf5 file into a json file and save the weights of the model. Run this on a python installation on a machine that can handle the import. from keras.models import load_model. model = load_model("my_model.hdf5")
Mar 2, 2022 · import tensorflow as tf tf.__version__ !sudo pip3 install keras from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D from
Feb 6, 2019 · from keras.models import load_model I checked all the dependencies and that is ok. I have Keras 2.2.4 ...
Feb 5, 2022 · I have switched from working on my local machine to Google Collab and I use the following imports: python import mlflow\ import mlflow.keras\ import mlflow.tracking\ from mlflow import pyfunc\ from mlflow.models import Model\ import numpy as np\ import pandas as pd\ from matplotlib import pyplot as plt\ from keras.layers import LSTM\ from keras.layers import Dense\ from keras.models import Sequential\ from sklearn.preprocessing import MinMaxScaler\
