python-kerasHow do I save weights in a Python Keras model?
The weights of a Keras model can be saved in two ways:
- Saving the entire model: This will save the model's architecture, weights, and training configuration in a single file. This can be done using the
model.save()method.
Example code
model.save('model.h5')
- Saving only the weights: This will only save the weights of the model, and not its architecture or training configuration. This can be done using the
model.save_weights()method.
Example code
model.save_weights('weights.h5')
Helpful links
More of Python Keras
- How can I use Python and Keras to forecast time series data?
- How do I use Python Keras to zip a file?
- How can I use word2vec and Keras to develop a machine learning model in Python?
- How can I use XGBoost, Python and Keras together to build a machine learning model?
- How do I install Keras on Windows using Python?
- How do I plot a model using Python and Keras?
- How can I use Python with Keras to build a deep learning model?
- How can I resolve the issue of Python module Tensorflow.keras not being found?
- How do I install the Python Keras .whl file?
See more codes...