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What is the hidden layer in the backpropagation algorithm?Question 14Answera.The layer that produces the final output of the neural networkb.The layer that is visible to the user and processes the input datac.The layer that is not visible to the user and processes the input datad.The layer that determines the activation function of the neural network

Question

What is the hidden layer in the backpropagation algorithm?Question 14Answera.The layer that produces the final output of the neural networkb.The layer that is visible to the user and processes the input datac.The layer that is not visible to the user and processes the input datad.The layer that determines the activation function of the neural network

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Solution

The hidden layer in the backpropagation algorithm is c. The layer that is not visible to the user and processes the input data.

Here's a step-by-step explanation:

  1. In a neural network, there are typically three types of layers: the input layer, the hidden layer(s), and the output layer.

  2. The input layer is where the network takes in the data for processing. This is the layer that is visible to the user.

  3. The output layer produces the final result of the neural network's computations.

  4. The hidden layer(s), however, is not directly visible to the user. It's called "hidden" because it's in between the input and output layers.

  5. The hidden layer processes the input data received from the input layer, applies weights and

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Similar Questions

What is the input layer of a feedforward neural network called?Question 6Answera.Hidden layerb.Output layerc.None of the aboved.Input layer

What is the backpropagation algorithm used for?Question 10Answera.To optimize the activation function of a neural networkb.To find the optimal weights and biases of a neural networkc.To classify data using a neural networkd.All of the above

Which one of the following is First layer of Neural Network?Outer LayerHidden LayerInput LayerUpper LayerNone of above

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

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

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