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

If you'd like to share your visualization with the world, follow these simple steps. See this tutorial for more. Host tensors, metadata, sprite image, and bookmarks TSV files publicly on the web. One …

Oct 25, 2023 · For these situations, you use TensorFlow Summary Trace API to log autographed functions for visualization in TensorBoard. To use the Summary Trace API: Define and annotate a …

Nov 12, 2024 · Histograms and Distributions show the distribution of a Tensor over time. This can be useful to visualize weights and biases and verify that they are changing in an expected way.

Aug 12, 2025 · In order to load the data into Tensorboard, we need to save a training checkpoint to that directory, along with metadata that allows for visualization of a specific layer of interest in the model.

# Rotate the mesh. mesh["vertices"] = tfg_transformation.axis_angle.rotate(mesh["vertices"], axis, angle).numpy() # Visualize the rotated mesh. threejs_visualization.triangular_mesh_renderer(mesh, …

Jan 28, 2021 · Either a mesh or a point cloud can be represented by a set of tensors. For example, one can see a point cloud as a set of 3D coordinates of the points and some colors associated with each …

TensorBoard A suite of visualization tools to understand, debug, and optimize TensorFlow programs.

Aug 15, 2024 · The base tf.Tensor class requires tensors to be "rectangular"---that is, along each axis, every element is the same size. However, there are specialized types of tensors that can handle …

TensorBoard: TensorFlow's visualization toolkitTensorBoard 提供机器学习实验所需的可视化功能和工具： 跟踪和可视化损失及准确率等指标 可视化模型图（操作和层） 查看权重、偏差或其他张量随时间 …