python-kerasHow can I save a trained model in Python using Keras?

Saving a trained model in Python using Keras is relatively straightforward. Here is an example code block to illustrate the process:

# Save the weights
model.save_weights('model_weights.h5')

# Save the model architecture
with open('model_architecture.json', 'w') as f:
    f.write(model.to_json())

The first line saves the weights of the model in an .h5 file, which can be loaded back in later. The second line saves the model architecture as a JSON file, which can also be loaded back in later.

Code explanation

• model.save_weights('model_weights.h5'): This line saves the weights of the model in an .h5 file.
• with open('model_architecture.json', 'w') as f: This line opens a file for writing.
• f.write(model.to_json()): This line writes the model architecture as a JSON file.

Helpful links

• Keras Documentation - Saving and serializing models

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