MiaBella ANN is an interactive, web-based visualization tool for exploring the inner workings of artificial neural networks.
The program shows a deep learning neural network with up to six layers. You can change the layers, the inputs, and even the number of outputs.
This application performs a gradient descent optimization on whichever neural network configuration you choose. The data set is created randomly at every drawing, and the outputs are generated from random equations based on the inputs.
As the optimization proceeds, you can view in real time how the neurons and their connections change to fit the data.
The output panel displays how the cost function progresses through the optimization process.
You can rotate the plot, zoom in, and even select individual elements to see how they develop as the neural network learns.
Check out the FAQ section for more details on the creation of this 3D web app.
Frequently Asked Questions
Can I use this on my computer?
What tools were used to create this?
Does this app do optimizations?
Can I check the backpropagation calculations?
If you press “g” key on your keyboard, this program will run a gradient check on the 100th epoch to compare the numerical and backpropagation gradients.
What does a specific part of the neural network do?
If you hover your mouse pointer over a node, a chart will show the node’s input and output. Click your mouse button or press the “x” key to zoom in and out of this chart.
How did you implement batch normalization in the backpropagation?
Why did some of the connection lines disappear?
To streamline the display, only the 1,000 connections with weights furthest from zero are shown. The exception is the final layer, where all connections to the outputs are visible.
Connections are always present in the neural network model, but those with weights closest to zero might not be drawn in a network with many nodes.
Where is this program?
The base directory is: ann.miabellaAI.net