Lecture 3.6 | Radial basis function network | Neural Network in machine learning |
Radial Basis Function Networks are a powerful type of artificial neural network that excel in approximating functions and solving complex problems. They are composed of hidden nodes that use radial basis functions as activation functions.
We start by introducing the fundamentals of RBFN, including their architecture, purpose and Understand the concept of radial basis functions, their role as activation functions in RBFN. At last we have discussed the advantages of RBFN eith respect to other algorithms.
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