Simple Network 1/4 points (graded) Consider a simple 2-layer neural network with a single neuron in each layer. The loss function is the quadratic loss: , where is the prediction and is the target. Starting with input we have: Consider a target value and input value . The weights and bias are , , and . Please provide numerical answers accurate to at least three decimal places. What is the loss

Write a full class definition for a class named player , and containing the following members: a data member name of type string .a data member score of type int .a member function called setname that accepts a parameter and assigns it to name . the function returns no value.a member function called setscore that accepts a parameter and assigns it to score . the function returns no value.a member function called getname that accepts no parameters and returns the value of name .a member function called getscore that accepts no parameters and returns the value of score .this is what i have, aparently this is wrong: class player{private: string name; int score; public: void player: : setname (string n){name =n; }void player: : setscore (int s){score = s; }string player: : getname (){return name; }int player: : getscore (){return score; }};

20 points archie wants to use a reflector as he photographs a newlywed couple. what would he consider in his choice? a. shadow and sunny b. homemade and professional c. lamps and boards d. incident and reflected e. neutral density and enhancement

List 3 items that were on kens resume that should have been excluded