How does eilu veilu work out with an absolute truth? Theories of Elu ve-Elu Divrei Elokim Hayyim in Rabbinic Literature”, Daat (1994), pp 23-35; Michael Rosensweig “Elu ve-Elu Divrei Elohim Hayyim: Halachik Pluralism and Theories of Controversy”, in Moshe Sokol (ed ), Rabbinic Authority and Personal Autonomy (Northvale, N J , 1992), and Avi Sagai, Elu ve-Elu Divrei Elohim Hayyim (Am Oved
Elu VeElu - can half truth be called truth? [duplicate] I believe the Maharal, for example, both dramatically limits the application of the rule of "elu v'elu " to the disputes of beith hillel and beith shammai (your example, I suppose, being an aggadic exception - notably, I believe it has also been said that disputes in aggadeta are seldom actual disputes as by [binary] halacha, but rather, differences in emphasis) and further does not
Why do many boys begin learning Gemara with Elu Metzios? Rav Moshe was often asked about the widely accepted practice that boys start learning Gemora with Elu Metzios, dealing with the laws of returning lost items, as opposed to Mesechta Brochos,which many people find to be more useful and practical to everyday life
Exponential Linear Units (ELU) vs - Data Science Stack Exchange About ELU: ELU has a log curve for all negative values which is $ y = \alpha( e^x - 1 )$ It does not produce a saturated firing for some extent but saturates for larger negative values See here for more information Hence, $ y = log( 1 + e^x ) $ is not used because of early saturation for negative values and also non linearity for values > 0
halacha - Malbim on Eilu v Eilu - Mi Yodeya Similarly, the Rivash (14th cent ) describes in his responsa (ch 505) the contemporary dispute over the recitation of the "shehecheyanu" blessing on the second night of Rosh Hashana as "Elu V'elu" אומרים זמן בליל שניה של ר"ה; והאומר: שלא לאמרו; אלו ואלו דברי אלהים חיים
Why does it speed up gradient descent if the function is smooth? In ELU, whenever x became small enough, the gradient became really small and saturated (in the same way it happens for Tanh and Sigmoid) The small gradient means that the learning algorithm can focus on the tuning of other weights without worrying about the interactivity with the saturated neurons
bert - What is GELU activation? - Data Science Stack Exchange Stack Exchange Network Stack Exchange network consists of 183 Q A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers