Deep Learning End Term: 30 April 2023 (January 2023 term)

Suppose that we implement a three input Boolean function using the Mc-Culloch Pitts (MP) neuron. The graph below shows the Number of Correctly Classified (NCC) data points for various values of threshold θ. The threshold θ is incremented by 1 from 0 to 5. Assume that the neuron does not have any inhibitory input. This graph represents which of the following Boolean functions?

Suppose that we implement a three input Boolean function using the Mc-Culloch Pitts (MP) neuron. The graph below shows the Number of Correctly Classified (NCC) data points for various values of threshold θ. The threshold θ is incremented by 1 from 0 to 5. Assume that the neuron does not have any inhibitory input. This graph represents which of the following Boolean functions?

Consider the following two sentences
• A man was sitting at the bank of the river and gazing at stars in the sky • A man went to the bank to check his current balance
Suppose we get the word representation for the word bank in both sentences using CBOW model which was trained as shown in the image below. The model was trained by building a vocabulary that contains unique words in the sentences. Then the statement that the word representation for the word bank will be different based on its context is

Consider the following two sentences
• A man was sitting at the bank of the river and gazing at stars in the sky • A man went to the bank to check his current balance
Suppose we get the word representation for the word bank in both sentences using CBOW model which was trained as shown in the image below. The model was trained by building a vocabulary that contains unique words in the sentences. Then the statement that the word representation for the word bank will be different based on its context is