-
otherwise modulated. The
connections between neurons can form
neural pathways,
neural circuits, and
larger networks that
generate an organism's perception...
- In
machine learning, a
neural network (also
artificial neural network or
neural net,
abbreviated ANN or NN) is a com****tional
model inspired by the structure...
- is a
subset of
machine learning that
focuses on
utilizing multilayered neural networks to
perform tasks such as classification, regression, and representation...
- A
convolutional neural network (CNN) is a type of
feedforward neural network that
learns features via
filter (or kernel) optimization. This type of deep...
-
Recurrent neural networks (RNNs) are a
class of
artificial neural networks designed for
processing sequential data, such as text, speech, and time series...
- A
neural network is a
group of
interconnected units called neurons that send
signals to one another.
Neurons can be
either biological cells or mathematical...
-
machine learning, a
neural differential equation is a
differential equation whose right-hand side is
parametrized by the
weights θ of a
neural network. In particular...
-
Neural style transfer applied to the Mona Lisa:
Neural style transfer (NST)
refers to a
class of
software algorithms that mani****te
digital images, or...
- In the
context of
artificial neural networks, the
rectifier or ReLU (rectified
linear unit)
activation function is an
activation function defined as the...
- A
residual neural network (also
referred to as a
residual network or ResNet) is a deep
learning architecture in
which the
layers learn residual functions...
