Consider an input image of shape 500x500x3. The image is flattened and a fully connected layer with 100 hidden units is used. What is the shape of the weight matrix of this layer (without the bias)? What is the shape of the bias? 2. You run this image in a convolutional layer with 10 filters, of kernel size 5x5. How many parameters does this layer have?

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