LostTech.TensorFlow : API Documentation

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).



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.

Public properties

IList<Tensor> assign_embeddings get; set;

Tensor batch_id get; set;

int batch_size get; set;

object embeddings_data get; set;

int embeddings_freq get; set;

object embeddings_layer_names get; set;

object embeddings_metadata get; set;

int histogram_freq get; set;

object log_dir get; set;

Tensor merged get; set;

Model model get; set;

object params get; set;

object PythonObject get;

Saver saver get; set;

Tensor step get; set;

object update_freq get; set;

object validation_data get; set;

bool write_grads get; set;

bool write_graph get; set;

bool write_images get; set;

object writer get; set;