Data Visualization Techniques | AI Knowledge Hub |…

Visualizing Data, Models and Results in Machine Learning

Data visualization is a crucial part of machine learning, enabling us to understand data, monitor model training, interpret results, and communicate findings effectively. From learning curves to attention maps, from confusion matrices to embedding visualizations – proper visualization can significantly improve our understanding and the performance of models.

Visualization of Learning

What is: Receiver Operating Characteristic curve

Components: TPR vs FPR

Metric: AUC (Area Under Curve)

live demo · related simulation● LIVE

What is: Network Structure Visualization

Tools: Netron, TensorBoard, graphviz

Usage: Understanding architecture

Frequently asked questions

What are: Line plots and seasonal decomposition?

Line plots, seasonal decomposition

How is: Time series data used?

Time series data is utilized in various applications.

What are: Grid visualization and augmentation techniques?

Grid visualization and augmentation preview

How is: Computer vision visualized?

Computer vision is visualized to analyze images.

▶ 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