description: A simple tutorial on how to visualize neural-networks in Neataptic
authors: Thomas Wagenaar
keywords: graph, model, neural-network, visualize, nodes, connections
This is a step-by-step tutorial aimed to teach you how to create and visualise neural networks using Neataptic.
**Step 1**
Create a javascript file. Name it anything you want. But make sure to start it off with the following:
```javascript
var Node = neataptic.Node;
var Neat = neataptic.Neat;
var Network = neataptic.Network;
var Methods = neataptic.Methods;
var Architect = neataptic.Architect;
```
This makes the whole developing a whole lot easier
**Step 2**
Create a html file. Copy and paste this template if you want:
```html
```
**Step 3** Create a network. You can do that in any of the following ways:
```javascript
var network = architect.Random(2, 20, 2, 2);
```
```javascript
var network = architect.Perceptron(2, 10, 10, 2);
```
Or if you want to be more advanced, construct your own:
```javascript
var A = new Node();
var B = new Node();
var C = new Node();
var D = new Node();
var E = new Node();
var F = new Node();
var nodes = [A, B, C, D, E, F];
for(var i = 0; i < nodes.length-1; i++){
node = nodes[i];
for(var j = 0; j < 2; j++){
var connectTo = nodes[Math.floor(Math.random() * (nodes.length - i) + i)];
node.connect(connectTo);
}
}
var network = architect.Construct(nodes);
```
**Step 4** Retrieve data and draw a graph
```javascript
drawGraph(network.graph(1000, 1000), '.draw');
```
See a working example [here](https://jsfiddle.net/ch8s9d3e/30/)!
See more info on graphs [here](https://github.com/wagenaartje/neataptic/tree/master/graph)!