Intégrer l'IA dans une appli : Tout ce qu'il faut savoir
Dans l'ensemble, l'intégration de l'IA donne aux apps les moyens d'offrir des expériences plus intelligentes, plus réactives et plus sûres, qui ...
TensorBoard
Répète ce processus pour affiner le modèle et améliorer sa précision. Des outils comme <anchor>TensorBoard</anchor> peuvent aider à visualiser le processus de formation et à diagnostiquer les problèmes.
TensorBoard  |  TensorFlow
TensorBoard  \|  TensorFlow

[![TensorFlow](https://www.gstatic.com/devrel-devsite/prod/vff8c7d35de8ade382e79c3b9a923182d876d284b6ae43035fbefc80d49042a6e/tensorflow/images/lockup.svg)](/)

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- [TensorBoard](https://www.tensorflow.org/tensorboard)

A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.


[Overview](https://www.tensorflow.org/tensorboard)[Guide](https://www.tensorflow.org/tensorboard/get_started)

[![TensorFlow](https://www.gstatic.com/devrel-devsite/prod/vff8c7d35de8ade382e79c3b9a923182d876d284b6ae43035fbefc80d49042a6e/tensorflow/images/lockup.svg)](/)

- [Install](/install)
- [Learn](/learn)  - More
- [API](/api)  - More
- [Resources](/resources)

  - More


  - [Overview](/tensorboard)
  - [Guide](/tensorboard/get_started)
- [Community](/community)  - More
- [Why TensorFlow](/about)  - More
- [GitHub](//github.com/tensorflow)

- [Introduction](/learn)
- [Tutorials](/tutorials)
- [Guide](/guide)
- [Learn ML](/resources/learn-ml)

- [TensorFlow (v2.16.1)](/api/stable)
- [Versions…](/versions)
- [TensorFlow.js](https://js.tensorflow.org/api/latest/)
- [TensorFlow Lite](/lite/api_docs)
- [TFX](/tfx/api_docs)

- LIBRARIES

- [TensorFlow.js](/js)
- [TensorFlow Lite](/lite)
- [TFX](/tfx)
- [All libraries](/resources/libraries-extensions)
- RESOURCES

- [Models & datasets](/resources/models-datasets)
- [Tools](/resources/tools)
- [Responsible AI](/responsible_ai)
- [Recommendation systems](/resources/recommendation-systems)

- [Groups](/community/groups)
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## TensorBoard: TensorFlow's visualization toolkit

[![](https://www.tensorflow.org/static/tensorboard/images/tensorboard.gif)](https://www.tensorflow.org/tensorboard/get_started)

TensorBoard provides the visualization and tooling needed for machine learning experimentation:

- Tracking and visualizing metrics such as loss and accuracy
- Visualizing the model graph (ops and layers)
- Viewing histograms of weights, biases, or other tensors as they
change over time
- Projecting embeddings to a lower dimensional space
- Displaying images, text, and audio data
- Profiling TensorFlow programs
- And much more

[Get started](https://www.tensorflow.org/tensorboard/get_started)

### [What's new in TensorBoard (TF Dev Summit '19)](https://www.youtube.com/watch?v=xM8sO33x_OU)

[Watch the video](https://www.youtube.com/watch?v=xM8sO33x_OU)

\[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}\]

\[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}\]

{}


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