In a Fully Connected NN, if the input volume is 32x32x3 connected to a singlelayer of 5 neurons, how many parameters must be learned?

In a CNN, if we have a 32x32x3 input volume followed by four layers of 3x3x3filters with stride = 1 and pad = 0, how many parameters must be learned?(a) 4(b) 27(c) 28(d) 108(e) 112

Suppose your input is a 300*300 color (RGB) image, and you are not using a convolutional network. If the first hidden layer has 100 neurons, each one fully connected to the input, how many parameters does this hidden layer have (assume each neuron has its own bias parameter)?       a.9,000,001b. 27,000,001c.27,000,100d.9,000,100

How many neurons do you need in the hidden layer of a perceptron to learn any boolean function with 4 inputs?

Question 2How many dimensions is the input for the following neural network object:45678910111213321        self.linear1=nn.Linear(D_in,H)        self.linear2=nn.Linear(H,D_out)             def forward(self,x):        x=torch.sigmoid(self.linear1(x))          x=torch.sigmoid(self.linear2(x))        return x        model=Net(4,10,1)        super(Net,self).__init__()    def __init__(self,D_in,H,D_out):class Net(nn.Module):

Suppose we have the following convolutional neural network architecture:Input volume: 15x15x1 (i.e. width = 15, height = 15, and depth = 1)First convolutional layer: 5 filters, with receptive field 3x3x1Second convolutional layer: 5 filters, with receptive field 2x2x5Output layer: fully connected with 10 neurons.How many weights are there in each layer?