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Concept
Cranial Nerve XII
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Concept
Batch Normalization
Batch Normalization
is a technique to improve the training of
deep neural networks
by
normalizing the inputs
to each layer, which helps in reducing
internal covariate shift
and
accelerates convergence
. It allows for
higher learning rates
, reduces sensitivity to initialization, and can act as a
form of regularization
to
reduce overfitting
.
Concept
Distribution Shift
Concept
Convergence Speed
Convergence speed
refers to the rate at which an
iterative algorithm
approaches its solution, impacting the efficiency and feasibility of solving
large-scale problems
. Faster
Convergence speed
s are desirable as they reduce
computational time
and resources, making them crucial in
practical applications
such as optimization and
machine learning
.
Concept
Network Activations
Concept
Parameter Updates
Concept
Training Process
Concept
Deep Learning
Deep learning
is a subset of
machine learning
that uses
neural networks
with many layers (deep
neural networks
) to model
complex patterns in data
. It has revolutionized fields such as image and
speech recognition
by efficiently
processing large amounts of unstructured data
.
Concept
Gradient Descent
Gradient descent
is an
optimization algorithm
used to
minimize a function
by
iteratively moving
towards the
steepest descent
, or
negative gradient
, of the function. It is widely used in
machine learning
to update
model parameters
and
minimize the loss function
, ensuring the
model learns efficiently
from data.
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