TensorBoard

E97076
debugging toolkit open-source software software tool visualization toolkit

TensorBoard is a visualization and debugging toolkit for TensorFlow that lets users inspect model graphs, track metrics, and analyze training runs.

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All labels observed (2)

Label Occurrences
TensorBoard canonical 1
Vertex AI TensorBoard 1

Statements (50)

Predicate Object
instanceOf debugging toolkit ⓘ
open-source software ⓘ
software tool ⓘ
visualization toolkit ⓘ
accessedVia command-line interface ⓘ
web-based user interface ⓘ
developedBy Google ⓘ
Google Brain ⓘ
developedFor TensorFlow ⓘ
documentationURL https://www.tensorflow.org/tensorboard ⓘ
hasComponent audio dashboard ⓘ
distributions dashboard ⓘ
graphs dashboard ⓘ
histograms dashboard ⓘ
images dashboard ⓘ
profile dashboard ⓘ
projector dashboard ⓘ
scalars dashboard ⓘ
text dashboard ⓘ
hostedOn GitHub ⓘ
integratesWith Keras ⓘ
TensorFlow Estimators ⓘ
Keras ⓘ
surface form: tf.keras
license Apache License 2.0 ⓘ
partOf TensorFlow ecosystem ⓘ
programmingLanguage Python ⓘ
requires event log files ⓘ
supports audio summaries ⓘ
comparison of multiple training runs ⓘ
custom plugins ⓘ
debugging of training runs ⓘ
distribution visualization ⓘ
embedding visualization ⓘ
graph visualization ⓘ
histogram summaries ⓘ
hyperparameter tuning visualization ⓘ
image summaries ⓘ
machine learning model visualization ⓘ
metric tracking ⓘ
performance analysis ⓘ
profiling of TensorFlow programs ⓘ
projector for embeddings ⓘ
scalar summaries ⓘ
training monitoring ⓘ
uses TensorFlow summary operations ⓘ
visualizes accuracy curves ⓘ
computational graphs ⓘ
learning rate schedules ⓘ
loss curves ⓘ
model weights distributions ⓘ

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

TensorFlow → hasComponent → TensorBoard ⓘ
Vertex AI → hasComponent → TensorBoard ⓘ
this entity surface form: Vertex AI TensorBoard