The `keras.callbacks.TensorBoard` is a utility class in Python's Keras library that is used for logging and visualizing the training process of a deep learning model. It allows users to monitor various metrics such as loss, accuracy, and validation metrics during the training process. TensorBoard creates a log file that can be visualized using the TensorBoard web interface, providing insights into the model's performance over time. This can help in debugging, comparing different models, and making improvements to achieve better results.
Python TensorBoard - 32 examples found. These are the top rated real world Python examples of keras.callbacks.TensorBoard extracted from open source projects. You can rate examples to help us improve the quality of examples.