- derivative, its primitive,
which we call softplus, is convex. "
Smooth Rectifier Linear Unit (
SmoothReLU)
Forward Layer".
Developer Guide for
Intel Data Analytics...
-
SmoothReLU are used in
machine learning. The name "softplus" (2000), by
analogy with the
earlier softmax (1989) is
presumably because it is a
smooth (soft)...
-
function is nonlinear.
Modern activation functions include the
smooth version of the
ReLU, the GELU,
which was used in the 2018 BERT model, the logistic...
- Unit (Si
LU). With β → ∞, the
function converges to
ReLU. Thus, the
swish family smoothly interpolates between a
linear function and the
ReLU function...
- 2003,
Dmitry Yarotsky, Zhou
Lu et al in 2017,
Boris Hanin and Mark
Sellke in 2018 who
focused on
neural networks with
ReLU activation function. In 2020...
- are the edge
features (if present), and Leaky
ReLU {\displaystyle {\text{Leaky
ReLU}}} is a
modified ReLU activation function.
Attention coefficients are...
- is also
called "Kalman
Smoothing".
There are
several smoothing algorithms in
common use. The Rauch–Tung–Striebel (RTS)
smoother is an
efficient two-p****...
-
representations with the
ReLu function: min ( x , y ) = x −
ReLU ( x − y ) = y −
ReLU ( y − x ) . {\displaystyle \min(x,y)=x-\operatorname {
ReLU} (x-y)=y-\operatorname...
- --Figurine,
Crystal Crystal and
Diamond --Figurine,
Ivory --Figurine,
Obsidian Smoothed --Figurine,
Porcelain Flea of
Madness Geist Intangible undead spirit of...
- Introduction". pingce.ifeng.com (in Chinese).
Retrieved 2024-02-21.
Xiaobai Smooth (9
December 2023).
Xiaomi HyperOS White Paper Filled with Errors, Embarr****ing...
