Cytoscape Neural Network
A feed-forward neural network architecture (input → hidden → output) drawn with each layer in a column, every neuron fully connected to the next layer, and edge colour encoding signed weight (blue = positive, red = negative, opacity = magnitude). Cytoscape's `preset` layout pins
Template details
- chart
- neural-network
- ml
- diagram
- cytoscape
When to use this template
This visualization clearly illustrates the architecture and internal connection strengths of layered computational models. Analysts use it to explain how information flows through a system, identify influential connections, or document the design of a model, making complex structures understandable at a glance.
- Directed graph data with distinct, ordered layers of nodes.
- Nodes representing computational units, features, or decision points.
- Edges representing directed connections between adjacent layers only.
- Numerical edge attributes encoding signed magnitude (e.g., weights, influence scores).
- Datasets where the spatial arrangement of layers and connections is critical for understanding.
- Models with a manageable number of layers and nodes for clear diagrammatic representation.