Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function) The purpose of this work is to optimize the neural network model hyper-parameters to estimate facies classes from well logs.
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Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)