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. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Artif Intell. 2018 Apr 3;260:1–35. doi: 10.1016/j.artint.2018.03.003

Figure 2.

Figure 2

MNIST training (upper) and test (lower) accuracy, as a function of training epoch, for the adaptive versions of the RBP algorithm (ARBP) and SRBP algorithm (ASRBP). In these simulations, adaption slightly improves the performance of SRBP and speeds up training. For the ARBP algorithm, the learning rate was reduced by a factor of 0.1 in these experiments to keep the weights from growing too quickly. Models are trained five times with different weight initializations; the trajectory of the mean is shown here.