What are Probes?
A successful neural network simulation requires the specification of many parameters. The performance is highly dependent on the choice of these parameters. A productive way to assess the adequacy of the chosen parameters is to observe the signals that flow inside the network. NeuroSolutions has an amazingly powerful set of probing tools. One can observe signals flowing in the network, weights changing, errors being propagated, and most importantly the cost, all while the network is working. This means that you do not need to wait until the end of training to find out that the learning rate was set too high.
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All probes within NeuroSolutions belong to one of two categories -- static probes and temporal probes. The big difference is that the first kind access instantaneous data, while the second access the data over a window in time. The temporal probes have a buffer that stores past values, so one can visualize the signals as they change during learning. Fourier transforms provide a look at the frequency composition of such signals. There is also a probe that provides a 3-D representation of the state space.
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NS Tip Box: Static Probes and Stacking
