Train a neural network to look at photographs and make a reasonable guess at the age of the subject. The training data set was collected from the IMDB website and contains over 6000 photos sorted by the age.

age-net
|-img
| |-16
|  |-0a98a69aef9545d28d5743ee7f776f05.png
|  |-1ad2a212a1b7419bbb363163499a7099.png
|   ...
|  |-efcada2b3f2a4486a6c46fa5d5ff3e15.png
| |-17
| |-18
|  ...
| |-85

This project uses a fairly standard feedforward neural network based on the multilayer perceptron. It is set up to support a configurable number of layers and a configurable number of nodes in each layer.

3996 input nodes
1111 hidden nodes
999  hidden nodes
555  hidden nodes
1    output nodes

The inputs are simply the brightness values of each individual pixel in the 54 by 74 images, scaled to a value between 0.0f and 1.0f. No more image preprocessing is performed here... mostly because I don't know how to do it.

The outputs are simply the age, divided by 100, scaled between -1.5 and 1.5.