python-kerasHow do I load a Keras model saved in an H5 file using Python?

Loading a Keras model saved in an H5 file using Python is a simple process. First, the necessary libraries need to be imported. This includes the TensorFlow library, the Keras library, and the h5py library.

import tensorflow as tf
from tensorflow import keras
import h5py

Then, the model can be loaded using the load_model function from the Keras library, passing in the H5 file as an argument.

model = keras.models.load_model('my_model.h5')

The model can then be used to make predictions, evaluate the model, or make other modifications as needed.

predictions = model.predict(x_test)

Parts of the code:

1. import tensorflow as tf: imports the TensorFlow library.
2. from tensorflow import keras: imports the Keras library from TensorFlow.
3. import h5py: imports the h5py library.
4. model = keras.models.load_model('my_model.h5'): loads the model from the H5 file.
5. predictions = model.predict(x_test): makes predictions using the loaded model.

Helpful links

• TensorFlow
• Keras
• h5py

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