Tools \ TensorBoard
TensorBoard is a visualization toolkit for machine learning experimentation, designed for use with TensorFlow.
Source codeMaturity : Stable | Categories : Visualization Tools | License : | Producer : TensorFlow Developers
Overview
TensorBoard is a suite of web-based tools designed to visualize machine learning models, monitor training metrics, and understand data flow. It is most commonly used with TensorFlow, but it can also work with other machine learning frameworks.
Usage/Documentation
TensorBoard provides capabilities like tracking and visualizing metrics such as loss and accuracy, visualizing the computational graph, and viewing histograms of weights. For detailed usage information, visit the TensorBoard documentation.
Installation
TensorBoard can be installed using pip:
pip install tensorboard
Resources
Tutorials
There is no available tutorial for this tool.