TensorBoard | AI Knowledge Hub

Visualization and Monitoring Model Training

TensorBoard is a powerful visualization tool from TensorFlow designed for monitoring and analyzing the training of machine learning models. It allows you to visualize metrics, model graphs, weight distributions, embeddings, and much more, making the process of training and diagnosing models significantly simpler and more efficient.

What it is: Visualization of scalar metrics

Interpretation: Vanishing/Exploding Gradients

What it is: Visualization of the model graph

Usage: Understanding the architecture

live demo · related simulation● LIVE

PyTorch: torch.utils.tensorboard.SummaryWriter

Keras: callback=tf.keras.callbacks.TensorBoard

Command: tensorboard --logdir=logs

Frequently asked questions

What is TensorBoard?

FAQ: Questions and Answers

How do I use TensorBoard with PyTorch?

❓ How do I use TensorBoard with PyTorch?

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation