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using python and neural networks. where/how here can i add a for loop to test having 1 to 100 neurons in one single hindden layer? acti = ['logistic', 'tanh', 'relu', 'identity'] neural = MLPClassifier(activation=acti[0], solver='lbfgs', max_iter=200, hidden_layer_sizes=(6))

using python and neural networks. where/how here can i add a for loop to test having 1 to 100 neurons in one single hindden layer? acti = ['logistic', 'tanh', 'relu', 'identity'] neural = MLPClassifier(activation=acti[0], solver='lbfgs', max_iter=200, hidden_layer_sizes=(6))

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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using python and neural networks. where/how here can i add a for loop to test having 1 to 100 neurons in one single hindden layer?

acti = ['logistic', 'tanh', 'relu', 'identity']

neural = MLPClassifier(activation=acti[0], solver='lbfgs', max_iter=200, hidden_layer_sizes=(6))

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