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What is the output of applying the filter upon the image  with no padding and stride = 1.

Which of the following statements is true about logistic loss used for logistic regression with parameters where the logistic loss is given by,

Consider a fully connected 2-layer neural network with 100 neurons in the hidden layer and one neuron in the final layer(for binary classification). If the input to the network is a 3-channel image of size 32 x 32 and the weights  and  matrices are represented in memory using floats of 32 bits. How many bits will be required to store the 2 layer neural network (ignore the bias)?

Given a data matrix for a regression problem, under what conditions will the Ridge Regression estimate for parameter

If the number of neurons in the layer is  and number of neurons in layer . What is the dimension of the bias  ? (Use the notation we have defined in the lectures)

Consider a set of i.i.d samples following a Poisson distribution

August 16 is National Tell a Joke Day, so here is a good one: What is a pirate’s favorite letter (Mark only the answer listed as correct)?

What is Kant’s stance on discovering moral laws?

How might virtue ethics help with everyday decision-making, such as the borrowed car scenario?

In utilitarian thought, how is “utility” generally understood?