Goto

Collaborating Authors

 fullyconnected 256to128


9d38e6eab92b2aeb0a83b570188d5a1a-Supplemental.pdf

Neural Information Processing Systems

Since it is time-consuming to print every extruder path we generate in the last step onareal printer,webuild asimulation system byusing Bullet [22]tohelp usgenerate fiber paths. Finally, we run the tuned simulators on the generated extruder paths. Wesplitthedatasetinto90%training(9,000paths),5%validation(500paths), and 5% testing (500 paths), and we use the Adam optimizer [54]with alearning rate of 1 10 3, a learning rate exponential decay of 0.95 per epoch, and a batch size of 1 (path). Therobothasanoriginalheight of 10 and an original width of 0.5, and its bottom is fixed. The stretch ratios are restricted to be between 0.8 and 1.2.