What is a backpropagation network?Select one:a.A type of artificial neural network that uses deep learningb.A type of artificial neural network that uses unsupervised learningc.A type of artificial neural network that uses reinforcement learningd.A type of artificial neural network that uses supervised learning
Question
What is a backpropagation network?Select one:a.A type of artificial neural network that uses deep learningb.A type of artificial neural network that uses unsupervised learningc.A type of artificial neural network that uses reinforcement learningd.A type of artificial neural network that uses supervised learning
Solution
A backpropagation network is a type of artificial neural network that uses supervised learning. So, the correct answer is d. A type of artificial neural network that uses supervised learning.
Similar Questions
What is the backpropagation algorithm used for?Select one:a.To find the optimal weights and biases of a neural networkb.To optimize the activation function of a neural networkc.All of the aboved.To classify data using a neural network
What is the backpropagation algorithm used for?Select one:a.Data visualizationb.Data analysisc.Data miningd.Training artificial neural networks
What is the process of using a backpropagation network for classification tasks called?Select one:a.Clusteringb.Regressionc.Classificationd.Dimensionality reduction
Question textHow does a backpropagation network learn?Select one:a.By adjusting the number of neurons in the network based on the input and output datab.By adjusting the weights and biases of the network based on the input and output datac.By adjusting the activation function of the network based on the input and output datad.By adjusting the architecture of the network based on the input and output data
What is the primary purpose of the backpropagation algorithm in training a neural network?ATo compute the output of the networkBTo initialize the weights of the networkCTo update the weights of the network by minimizing the loss functionDTo determine the optimal network architecture
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