Quiz on Artificial Neural Networks

Which is a stochastic optimization method?

• Simulated Annealing

• Linear Regression

• Decision Trees

• K-means Clustering

What is the first step in the training process of adaptive pattern classification algorithms?

• Adjusting weights and connections

• Presenting labeled input data

• Calculating output signals

• Minimizing error between predicted and actual output

Auto-associative networks are used to:

• Map input to output labels

• Recall memorized patterns from corrupted inputs

• Classify data into categories

• Cluster unlabeled data

If ⟨vivj⟩data=0.9 , ⟨vi​vj​⟩model​=0.4, and η=0.2, compute Δwij for Boltzmann machine (Note - vivj is weight between ith and jth neurons in network and η -learning rate)

• 0.10

• 0.12

• 0.15

• 0.25

Which step is part of the simulated annealing process?

• Backpropagation

• Permuting input sequences

• Gradient Descent

• Weight Initialization

In the context of neural networks, what does 'bias' refer to?

• An input feature

• An adjustment term

• An output layer

• A fixed weight

What is a key characteristic of Restricted Boltzmann Machines (RBMs)?

• They have a three-layer architecture

• They are used for supervised learning

• They consist of a visible layer and a hidden layer

• They are not used for feature learning

What type of neural network is used for weather forecasting?

• Recurrent Neural Network

• Multilayer Perceptron

• Convolutional Neural Network

• All of the above

What does the term 'stochastic' refer to in the context of Boltzmann Machines?

• Deterministic processes

• Random probability distributions

• Fixed patterns

• Predictable outcomes

In Hopfield Network
Given an input vector Yin(i)=2 and threshold θi​=0, what is the output Yi​?

• 1

• 0

• -1

• unchanged