Machine Learning

d) [3 pts] Which of the following is a hyperparameter in a neural network? A) The bias b of the last hidden layer of a neural network B) The weight W of the last hidden layer of a fully connected neural network C) The regularization constant (lambda) used in L2 regularization e) [3 pts] Which of the following prevent overfitting? Click ALL that applies. A) RELU activation function B) Dropout C) Data Augmentation f) [3 pts]Gradient descent is an example of ... A) a loss function B) an optimizer C) a neural network architecture D) a type of neuron unit g) [5 pts]A single (15153) image is passed through a convolutional layer with 15 filters, each of size (333). The padding size is 1 and the stride size is also 1 . What is the size (that is, what are the dimensions) of the output image? A) (15153) B) (121215) C) (151515) D) None of the above