Question 1

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? Figure from the original question paper 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 Figure from the original question paper 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 Figure from the original question paper