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How does the backpropagation algorithm work?Select one:a.By adjusting the weights and biases of the neural network in the forward passb.By adjusting the activation function of the neural networkc.By adjusting the weights and biases of the neural network in the backward passd.By adjusting the weights and biases of the neural network in both the forward and backward passes

Question

How does the backpropagation algorithm work?Select one:a.By adjusting the weights and biases of the neural network in the forward passb.By adjusting the activation function of the neural networkc.By adjusting the weights and biases of the neural network in the backward passd.By adjusting the weights and biases of the neural network in both the forward and backward passes

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Solution

The backpropagation algorithm works by adjusting the weights and biases of the neural network in the backward pass. So, the correct answer is c.

Here's a step-by-step explanation:

  1. Initialize the weights in the network (often small random values).

  2. Do a forward pass through the network with your input in order to obtain the output of the network.

  3. Calculate the error of the output, which is the difference between the network's output and the desired output.

  4. Run the backpropagation algorithm, which traverses the network in reverse order, meaning from output to input layer, to calculate the gradients. In other words, it calculates the partial derivatives of the error function with

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Similar Questions

What is the forward pass in the backpropagation algorithm?Question 12Answera.The process of adjusting the weights and biases in the backward directionb.The process of adjusting the weights and biases in the forward directionc.The process of calculating the error between the predicted output and the actual outputd.The process of predicting the output of the neural network based on the input data

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 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

Question textWhat are the biases in the backpropagation algorithm?Select one:a.The values that are adjusted in the forward passb.The values that are used to determine the output of the neural networkc.The values that are used to determine the activation function of the neural networkd.The values that are adjusted in the backward pass

What is the error function in the backpropagation algorithm?Select one:a.The function that adjusts the weights and biases in the backward passb.The function that determines the activation function of the neural networkc.The function that calculates the error between the predicted output and the actual outputd.The function that adjusts the weights and biases in the forward pass

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