ds2data

Space Sim Inspired Data Set for Machine Learning Purposes

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Small Network Without SPT

The last post showed that a network with a smaller dense layer improves the accuracy. Since that network had a spatial transformer network we will run one last experiment in this series and drop the spatial transformer.

Without further ado, here are the results. The cost fluctuates widely and the classification accuracy also does not converge well. Overall, at <60% accuracy, the performance without an SPT is worse than with an SPT.

As usual, here are some mislabelled examples.