On the weight dynamics of learning networks

arXiv:2405.00743v1 Announce Type: new
Abstract: Neural networks have become a widely adopted tool for tackling a variety of problems in machine learning and artificial intelligence. In this contribution we use the mathematical framework of local stability analysis to gain a deeper understanding of the learning dynamics of feed forward neural networks. Therefore, we derive equations for the tangent operator of the learning dynamics of three-layer networks learning regression tasks. The results are valid for an arbitrary numbers of nodes and …

abstract analysis artificial artificial intelligence arxiv become cs.lg dynamics framework intelligence machine machine learning networks neural networks nlin.cd stability tool type understanding