Table of Contents

    Tensorflows

    MCQ Section

    MCQ 1
    Hidden layer must use activation function with larger derivative.
    MCQ 2
    If a shallow neural network has five hidden neurons with three input features, what would be the dimension of weight matrix of hidden layer?
    MCQ 3
    You are building a binary classifier for classifying output(y=1) vs. output(y=0). Which one of these activation functions would you recommend using for the output layer?
    MCQ 4
    sigmoid_cross_entropy() function of tensorflow internally performs sigmoid activation for the final layer output.
    MCQ 5
    Input data is passed through placeholders in TensorFlow.
    MCQ 6
    Tensorflows GradientDescentOptimizer() function tries to maximize the cost while training the network.