Graph neural networks (GNNs) have demonstrated strengths ... Capsule eliminates the I/O overhead between the CPU and GPU during the backpropagation process by using graph partitioning and pruning ...

To understand backpropagation, you must first understand how a neural network works. Basically, a neural network is a directed graph of nodes called neurons. Neurons have a specific structure that ...

The learning algorithm that enables the runaway success of deep neural ... backpropagation,” said Konrad Kording, a computational neuroscientist at the University of Pennsylvania. Over the past decade ...