Type TensorBoard
Namespace tensorflow.keras.callbacks
Parent Callback
Interfaces ITensorBoard
Enable visualizations for TensorBoard. TensorBoard is a visualization tool provided with TensorFlow. This callback logs events for TensorBoard, including:
* Metrics summary plots
* Training graph visualization
* Activation histograms
* Sampled profiling If you have installed TensorFlow with pip, you should be able
to launch TensorBoard from the command line: ```sh
tensorboard --logdir=path_to_your_logs
``` You can find more information about TensorBoard
[here](https://www.tensorflow.org/get_started/summaries_and_tensorboard).
Methods
Properties
Public static methods
TensorBoard NewDyn(ImplicitContainer<T> log_dir, ImplicitContainer<T> histogram_freq, ImplicitContainer<T> batch_size, ImplicitContainer<T> write_graph, ImplicitContainer<T> write_grads, ImplicitContainer<T> write_images, ImplicitContainer<T> embeddings_freq, object embeddings_layer_names, object embeddings_metadata, object embeddings_data, ImplicitContainer<T> update_freq, ImplicitContainer<T> profile_batch)
Initialize self. See help(type(self)) for accurate signature.