Purdue U Proposes ANE: A Self-Adaptive Network Enhancement Method for Optimizing DNN Design | Synced
A research team from Purdue University presents a self-adaptive algorithm for optimal deep neural network design. The adaptive network enhancement (ANE) method learns not only from given informatio...
Source: Synced | AI Technology & Industry Review
A research team from Purdue University presents a self-adaptive algorithm for optimal deep neural network design. The adaptive network enhancement (ANE) method learns not only from given information (data, function, PDEs) but also from the current computer simulation.