A technique used to train neural networks that use gradient descent algorithms to update network weights as data moves from the input layer to the hidden layer and the output layer. There are many ...

Furthermore, we propose an automatic discrete differentiation algorithm, which enables neural networks to utilize the discrete gradient method ... namely the 1-and 2-D Korteweg–de Vries (KdV) equation ...

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...

PhD students and postdoctoral researchers: Students and postdoctoral researchers who are interested to join my research group at the Chinese University of Hong Kong, Shenzhen in China and at the ...

A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...

BIFOLD─Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany Machine Learning Group, Berlin Institute of Technology, 10587 Berlin, Germany BIFOLD─Berlin Institute for the ...