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Hands-On Machine Learning with C# by Matt R. Cole

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Summary

Well folks, there you have it! In this chapter, you learned about RBMs, a little bit of graph theory, and how to create and train a Deep Belief Network in C#. Your buzzword-compliant checklist is almost complete! I recommend that you experiment with the code, train your network layers to different thresholds, and watch how your computer dreams while reconstructing. Remember, the more you train the better, so spend time with each layer to ensure it has enough data to do an accurate job of reconstruction.

A quick note of warning: if you enable drawing of your feature detectors and reconstructed inputs, you will notice a huge decrease in performance. If you are trying to train your layers, you may wish to train them without visualizations ...

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