how-can-i-enable-verbose-mode-when-using-python-keras.md

How can I enable verbose mode when using Python Keras?

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Verbose mode in Python Keras can be enabled by setting the verbose parameter to 1 or 2. The verbose parameter determines the amount of information that is displayed during training.

Setting verbose to 1 will print out a progress bar and a one-line summary for each epoch.

Setting verbose to 2 will print out more detailed information about the training process, such as the number of batches processed and the time taken for each epoch.

Example code

model.fit(X_train, y_train, verbose=1)

Output example

Epoch 1/10
1875/1875 [==============================] - 7s 4ms/step - loss: 0.3281

The verbose parameter can also be a function that takes in the logs dictionary as an argument and prints out the desired information.

Example code

def verbose_print(logs):
    print(f"loss: {logs['loss']}")

model.fit(X_train, y_train, verbose=verbose_print)

Output example

loss: 0.3281

Helpful links

• Keras Documentation: verbose
• Keras Tutorial: Verbosity Mode

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