Questions
42172 Introduction to Artificial Intelligence - Spring 2025 Practice quiz - Module 1
Single choice
Which of the following options is the key factor that led the return of neural networks?
Options
A.the back-propagation learning algorithm
B.World Wide Web
C.Dramatically increased Computational power (Cloud computing)
D.Big data (five Vs)
E.Deep learning algorithms
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Step-by-Step Analysis
The question asks: Which of the following options is the key factor that led the return of neural networks?
Option 1: the back-propagation learning algorithm
This option identifies back-propagation as the pivotal mechanism that enabled practical training of multi-layer neural networks, allowing error signals to be propagated backward through the network to adjust weights. This made deep architectures trainable and significantly boosted p......Login to view full explanationLog in for full answers
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以下哪一项*正确*描述了反向传播算法的步骤？ Which steps *correctly* describe the backpropagation algorithm?
[Multiple choice] Which of the following options is the key factor that led the return of neural networks?
In the training process of a feedforward neural network (either shallow or deep), forward and backward passes play crucial roles. Which of the following statements about forward and backward passes are correct? I The forward pass computes the output of the network by propagating inputs through the layers. II During the backward pass, gradients are calculated and propagated from the output layer back to the input layer to update the weights. III The forward pass adjusts the network's weights and biases to minimize the loss function. IV The backward pass involves calculating partial derivatives of the loss with respect to each weight and bias in the network.
Question at position 2 What does backpropagation refer to in neural networks? Computing gradients for all parametersMapping inputs to outputsNormalizing dataUpdating weights in the forward direction
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