Trans-Dimensional Learning provides users of neural networks with a specific platform to conduct pattern recognition tests. Trans-Dimensional Learning (TDL) allows for the fast creation of automatically constructed neural networks. With TDL it is possible to incrementally learn various pattern recognition tasks within a single coherent neural network structure. Furthermore, TDL supports the use of semi-weighted neural networks, which represent a hybrid cross between standard weighted neural networks and weightless multi-level threshold units. Combining both can result in extremely compact network structures, and can improve predictive accuracy on yet unseen patterns. TDL provides graphical support, that allows the user to observe every step involved in the construction of a neural network along with scripting and SDK support for embedding TDL into your own applications.