Given the following ConvNet, answer the following questions: How many total parameters (biases and weights) does this network have? [ans1] Break these parameters down into biases and weights per every layer? Show your work. Conv2d 1 MaxPool2d 2 Conv2d 2 MaxPool2d 2 Linear 1 Linear 2 # of Biases [ans2] [ans4] [ans6] [ans8] [ans10] [ans12] # of Weights [ans3] [ans5] [ans7] [ans9] [ans11] [ans13] What would the total number parameters be if the input image size changes to 256 x 256?[ans14]

Which of the following statements is NOT true regarding an unpriced financing round?

Using the industry’s average P/E ratio, what is the expected value of this firm in five year?

What is the name of an agreement during a merger or acquisition that keeps a portion of the purchase price in escrow to pay for unanticipated liabilities that might arise after the deal is completed?

What is the change in net working capital for this firm during the last year?

What is the average Price/Earnings Ratio for firms in this industry?

Which of the following statements is true regarding the decision to shut down your firm voluntarily?

Based on these four comparable firms, what would be a typical P/E ratio for firms in this industry based on using an average?

Assuming a long-term growth rate of 2%, and a cost of equity equal to 12%, what is the horizon value for the firm four years from now?

What would you have to do differently in the DCF process to find the enterprise value rather than the value of the firm’s equity?