In which neural net architecture, does weight sharing occur?Question 16Select one:A.Recurrent Neural NetworkB.Fully Connected Neural NetworkC.Convolutional neural NetworkD.Two of the answers are correct

Suppose we have a convolutional neural network with a 5x5x1 input volume, followed by one convolutional layer with 5 filters that have a 2x2x1 receptive field, followed by one fully connected output layer with 5 neurons.  How many weights does the network have in total?A model answer for this question will be released towards the end of the week. Correct answer  430   2500 You Answered  2485   805   530

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?

Suppose we have a convolutional neural network. The first layer is a convolutional layer, and it has an output volume with dimensions 8x8x8. Suppose the second layer is a fully connected layer with 5 neurons. How many weights does the second layer have?

For a classification task, instead of random weight initializations in a neuralnetwork, we set all the weights to zero. Which of the following statements is true?Question 15Answera.There will not be any problem and the neural network will train properlyb.None of thesec.The neural network will train but all the neurons will end up recognizing the samethingd.The neural network will not train as there is no net gradient change

A multilayer neural network is simply a neural network with at least one hidden layer, such as the one in the diagram below.Figure 15. Neural Network with hidden layerIn the example above each neuron in the output layer is connected to all neurons in the hidden layer, and each neuron in the hidden layer is connected to both inputs. How many weights does this network have in total?