-
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
model inspired by the
structure and function...
- Deep
learning is a
subset of
machine learning that
focuses on
utilizing neural networks to
perform tasks such as classification, regression, and representation...
- A
convolutional neural network (CNN) is a
regularized type of
feedforward neural network that
learns features by
itself via
filter (or kernel) optimization...
- 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...
-
Recurrent neural networks (RNNs) are a
class of
artificial neural networks designed for
processing sequential data, such as text, speech, and time series...
-
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 machine translation (NMT) is an
approach to
machine translation that uses an
artificial neural network to
predict the
likelihood of a sequence...
- 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...
- A
neural network, also
called a
neuronal network, is an
interconnected po****tion of
neurons (typically
containing multiple neural circuits). Biological...
