首页|Research from University of Belgrade Broadens Understanding of Machine Learning (Differentiable programming in machine learning)
Research from University of Belgrade Broadens Understanding of Machine Learning (Differentiable programming in machine learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Current study results on artificial intelligence have been published. According to news reporting from Belgrade, Serbia, by NewsRx journalists, research stated, “This paper explains automatic differentiation, discussing two primary modes - forward and backward - and their respective implementation methods.” Financial supporters for this research include Ministry of Education, Science And Technological Development of The Republic of Serbia. The news reporters obtained a quote from the research from University of Belgrade: “In the context of issues encountered in machine learning and deep learning, the forward mode is deemed more suitable as it efficiently differentiates functions with numerous inputs compared to outputs. Given Python’s pivotal role in the ML landscape, the paper elaborates on two widely used deep learning libraries-PyTorch and TensorFlow.”
University of BelgradeBelgradeSerbiaEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
