Limitations of Deep Learning for Inverse Problems on Digital Hardware
Limitations of Deep Learning for Inverse Problems on Digital Hardware
Deep neural networks have seen tremendous success over the last years. Since the training is performed on digital hardware, in this paper, we analyze what actually can be computed on current hardware platforms modeled as Turing machines, which would lead to inherent restrictions of deep learning. For this, we focus …