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OVER-FITTING AMELIORATION IN BAYESIAN NEURAL NETWORK MODEL ESTIMATION USING HETEROGENEOUS ACTIVATION FUNCTIONS
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Browsing OVER-FITTING AMELIORATION IN BAYESIAN NEURAL NETWORK MODEL ESTIMATION USING HETEROGENEOUS ACTIVATION FUNCTIONS by Subject "words: Bayesian estimator, Estimators performance evaluation, Bayesian neural network, Monte Carlo experiment, Homogeneous activation function"

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OVER-FITTING AMELIORATION IN BAYESIAN NEURAL NETWORK MODEL ESTIMATION USING HETEROGENEOUS ACTIVATION FUNCTIONS

OGUNDUNMADE, Tayo Peter (2023-08-16)

Neural Network (NN) allows complex nonlinear relationships between the response variables and its predictors. The Deep NN have made notable contributions across computer vision, reinforcement learning, speech recognition ...

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