What is the use of verbose in Keras while validating the model?

When using Keras to train and validate a model, one of the parameters that can be specified is the “verbose” parameter. This parameter controls the amount of information that is displayed during the training and validation process.

The “verbose” parameter accepts values of 0, 1, or 2, each of which determines the level of detail in the output. Let’s take a look at each of these options:

Verbose=0

When verbose is set to 0, no output will be displayed during the training and validation process. This is useful when running the model in a production environment where you don’t need to see the progress of the training process.

Verbose=1

Verbose=1 is the default setting in Keras. When verbose is set to 1, a progress bar will be displayed during the training and validation process, showing the percentage of completion and the loss on each epoch. This provides a nice visual indication of the progress of the training process.

Verbose=2

When verbose is set to 2, a progress bar will not be displayed, but the loss on each epoch will be printed to the console. This provides a more detailed view of the training process compared to verbose=1, as it explicitly shows the loss on each epoch.

So, the use of “verbose” in Keras while validating the model allows you to control the amount of information that is displayed during the training and validation process. Depending on your specific needs and preferences, you can choose the level of verbosity that best suits your workflow.