5 citations · 6 across the 5 of their papers we have counts for
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cs.NE2018
Limited Evaluation Evolutionary Optimization of Large Neural Networks
Jonas Prellberg, Oliver Kramer
Stochastic gradient descent is the most prevalent algorithm to train neural networks. However, other approaches such as evolutionary algorithms are also applicable to this task. Ev…
cs.NE2018
Lamarckian Evolution of Convolutional Neural Networks
Jonas Prellberg, Oliver Kramer
Convolutional neural networks belong to the most successul image classifiers, but the adaptation of their network architecture to a particular problem is computationally expensive.…
cs.CV2018
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
Jonas Prellberg, Oliver Kramer
Automatic tool detection from surgical imagery has a multitude of useful applications, such as real-time computer assistance for the surgeon. Using the successful residual network…