Hi I have implemented a large neural network in Tensorflow and converted it to Nengo with nengo_dl
however when I add Probes to the Conv1D with bias layers, they become mismatched when using
nengo.LinearFilter(, [1, 0]) and Nengo throw an error during simulation.
The Conv1D layers seem double the size, I figure it is because of the biases, but cannot find where the size of the synaptic filter is decided.
Due to the network being so large I cannot keep the history with going out of memory, and wanted to use the integrator to count spikes.