Neural Networks Quiz

What is the historical development of neural networks?

• From McCulloc h-Pitts to modern deep learning

• From perception to Hebbian learning

• Only from McCulloc h-Pitts to Backpropagation

• From Neural Networks to AIA

Which of the following is true about biological neurons?

• Biological neurons work in discrete steps

• Biological neurons have fixed synaptic weights

• Synaptic transmission in biological neurons is continuous

• Artificial neurons cannot simulate biological neurons

Which learning method is associated with adjusting weights based on error feedback?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• None of the above

Which activation function is commonly used in the backpropagation algorithm?

• Sigmoid

• Tanh

• ReLU

• All of the above

What type of network is used for associative memory?

• McCulloc h-Pitts

• Perceptron

• Hopfield Network

• None of the above

In the Hopfield network, what is the primary function?

• Pattern Recognition

• Data storage and retrieval

• Data compression

• Function approximation

What is the primary difference between supervised and unsupervised learning?

• Supervised learning uses labeled data

• Unsupervised learning uses labeled data

• Both use labeled data

• Neither uses labeled data

Which learning rule applies to the perceptron?

• Hebbian learning

• Delta rule

• Backpropagation

• None of the above

What does backpropagation primarily help with in neural networks?

• Optimization of weights

• Activation function calculation

• Input-output mapping

• Network architecture design

What is an important limitation of the McCulloch-Pitts neuron model?

• It cannot perform logical operations

• It lacks continuous activation

• It only models simple neurons

• It models only linear neurons