What is the backward pass in the backpropagation algorithm?Select one:a.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 backward 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 forward direction
Question
What is the backward pass in the backpropagation algorithm?Select one:a.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 backward 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 forward direction
Solution
The correct answer is:
b. The process of adjusting the weights and biases in the backward direction
In the backpropagation algorithm, the backward pass refers to the process where the error is propagated back through the network. This involves adjusting the weights and biases in the backward direction, starting from the output layer and moving towards the input layer. This is done in order to minimize the error between the predicted output and the actual output.
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?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
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?Select one:a.The values that are used to determine the activation function of the neural networkb.The values that are adjusted in the backward passc.The values that are adjusted in the forward passd.The values that are used to determine the output of the neural network
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