Aug 16, 2024 · ELU . ELU is very similiar to RELU except negative inputs. They are both in identity function form for non-negative inputs. On the other hand, ELU becomes smooth slowly until its output equal to $-\alpha$ whereas RELU sharply smoothes. Pros. ELU becomes smooth slowly until its output equal to $-\alpha$ whereas RELU sharply smoothes.

Sep 22, 2019 · 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 ...

Dec 6, 2020 · ELU and SELU are typically used for the hidden layers of a Neural Network, I personally never heard of an application of ELU or SELU for final outputs. Both choices of final activation and loss function depend on the task, this is the only criterion to follow to implement a good Neural Network.

Oct 2, 2021 · I am a trying to understand the SELU activation function and I was wondering why deep learning practitioners keep using RELU, with all its issues, instead of SELU, which enables a neural network to

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 …

Jul 13, 2015 · 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.

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 ...

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.

May 7, 2015 · Referring to the Stanford course notes on Convolutional Neural Networks for Visual Recognition, a paragraph says: "Unfortunately, ReLU units can be fragile during training and can "die". For e...

Mar 13, 2018 · What is the number one or the most recommended Talmud/Gemara passage for a child to begin studying? I understand that the number one or the most recommended Torah passage for a child to begin stud...