What is the backward pass in the backpropagation algorithm?Question 20Answera.The process of adjusting the weights and biases in the forward directionb.The process of calculating the error between the predicted output and the actual outputc.The process of adjusting the weights and biases in the backward directiond.The process of predicting the output of the neural network based on the input data
Question
What is the backward pass in the backpropagation algorithm?Question 20Answera.The process of adjusting the weights and biases in the forward directionb.The process of calculating the error between the predicted output and the actual outputc.The process of adjusting the weights and biases in the backward directiond.The process of predicting the output of the neural network based on the input data
Solution
The backward pass in the backpropagation algorithm refers to option c: 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 is used in a neural network to minimize the error of predictions. It's a two-step process: the forward pass and the backward pass.
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In the forward pass, the input data is passed through the network. The weights and biases of the network are used to calculate the predicted output.
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The error between the predicted output and the actual output is then calculated. This is typically done using a loss function.
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The backward pass comes after the forward pass. In this step, the error calculated is propagated back through the network. This is done in the reverse direction - from the output layer to the input layer.
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The weights and biases of the network are then adjusted in accordance with how much they contributed to the error. This
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
What is the bias update rule in the backpropagation algorithm?Question 18Answera.The mathematical formula that is used to update the biases based on the gradient descentb.The process of adjusting the weights and biases in the forward directionc.The process of minimizing the error between the predicted output and the actual outputd.The process of adjusting the weights and biases in the backward direction
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
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