How many conv layers with 3x3 filters would you need to have the same receptive field as a conv layer with 11x11 filters? Assume stride=1 and no padding. Enter your answer for the number of layers as an integer, E.g., 12 points

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 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?

Consider a convolutional neural network model that has three convolution layers. The first layer has 50 filters, the second layer has 100 filters, and the third layer has 200 filters. All convolution layers have stride=2, and the same padding. The input images are 300x400 pixels with RGB channels.What is the feature map size after the third convolution layer?4 points150x200x5075x100x10038x50x200

Suppose your input is a 300*300 color (RGB) image, and you use a convolutional layer with 100 filters that are each 5×5. How many parameters does this hidden layer have (assume each filter has its own bias parameter)?a.2600b.7600c.2501d.7500

Which of the following can a user choose when designing a convolutional layer? (Choose all that are correct.)1 pointFilter numberFilter weightsFilter sizeFilter depthFilter stride