How to save best model in Keras?

You can also use the save method to save your model. It will return a serialized model which you can use for further experimentation. The method takes in a list of keyword arguments. One of the key arguments is save_weights It refers to the trained model weights. If you want to save the model without its architecture, you can set ‘include_top’ to false here. Otherwise, the architecture will also be saved.

How to save best model with Keras?

The first step to save a best model is to use the best validation loss. This validation loss is the loss of your validation set during training. Remember you need to train your model for some epochs before you can find the best validation loss. If you stop training when you reach the best validation loss, you will end up with a model that does not have the best validation loss anymore.

How to save best model in PyTorch?

In the PyTorch framework, the best model is the one which gives us the highest validation accuracy on the test set. We can save the best model as a pickle file using the following code:

How to save best model in tensorflow 5?

Tensorflow 5 is the latest version of the framework. In Tensorflow 5, you can easily save your model using the save function. To save your model in Tensorflow 5, use the following code:

How to save best model in Tensorflow

The TensorFlow model graphs can be saved as a serialized proto, which is a graph definition. It can be loaded again later in the same Python session, or from another Python session.