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Concept
Gradient Descent Optimization
Gradient Descent Optimization
is an
iterative algorithm
used to
minimize a function
by moving towards the
steepest descent
as defined by the
negative of the gradient
. It is crucial for
training machine learning models
, particularly
neural networks
, as it efficiently finds the
optimal parameters
by updating them iteratively based on the
learning rate
and the
gradient of the loss function
.
Relevant Degrees
Computational Problem-Solving 60%
Computational Mathematics 30%
Operational Research 10%
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