What is the backward pass in the backpropagation algorithm?Question 1Answera.The process of predicting the output of the neural network based on the input datab.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 adjusting the weights and biases in the backward direction
Question
What is the backward pass in the backpropagation algorithm?Question 1Answera.The process of predicting the output of the neural network based on the input datab.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 adjusting the weights and biases in the backward direction
Solution
The backward pass in the backpropagation algorithm refers to option d. It is the process of adjusting the weights and biases in the backward direction.
Here's a step-by-step explanation:
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The backpropagation algorithm starts with the forward pass where the input data is passed through the network and the output is predicted.
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The error between the predicted output and the actual output is then calculated. This is often done using a loss function.
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In the backward pass, this error is then propagated back through the network. This is done by taking the derivative of the error with respect to each weight and bias in the network. This gives us a measure of how much each weight and bias contributes to the total error.
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The weights and biases are then adjusted in the direction that reduces the error. This is done by subtracting a fraction of the derivative from the current weight and bias values. This fraction is determined by the learning rate, a hyperparameter that controls how fast the network learns.
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This process is repeated for many iterations until the network's predictions are as close as possible to the actual outputs.
Similar Questions
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
What is the error function in the backpropagation algorithm?Question 5Answera.The function that adjusts the weights and biases in the forward passb.The function that calculates the error between the predicted output and the actual outputc.The function that determines the activation function of the neural networkd.The function that adjusts the weights and biases in the backward pass
What is the gradient descent in the backpropagation algorithm?Question 11Answera.The process of adjusting the weights and biases in the backward directionb.The process of minimizing the error between the predicted output and the actual outputc.The process of adjusting the weights and biases in the forward directiond.The process of maximizing the error between the predicted output and the actual output
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 are the weights in the backpropagation algorithm?Question 10Answera.The values that are used to determine the output of the neural networkb.The values that are adjusted in the backward passc.The values that are used to determine the activation function of the neural networkd.The values that are adjusted in the forward pass
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