Question: You are tasked with designing a convolutional neural network ( CNN ) with the following architecture specifications: | I. Input Layer: The input size is

You are tasked with designing a convolutional neural network (CNN) with the following architecture specifications:|
I. Input Layer: The input size is \(128,128,3\)(height, width, and 3 channels for RGB).
II. Convolutional Layer 1: Number of filters: 16, Filter size: \((5,5)\), Stride: 1, Padding: "same" (i.e., padding that ensures the output has the same spatial dimensions as the input)
III. Convolutional Layer 2: Number of filters: 32, Filter size: \((3,3)\), Stride: 2, Padding: None
IV. Max Pooling Layer: Pooling size: \((2,2)\), Stride: 2
V. Fully Connected Layer: Output neurons: 10
Question:
1. How many weight matrices are required to represent the entire architecture?
2. What are the dimensions of each weight matrix?
3. How many total trainable parameters are there in this network?
You are tasked with designing a convolutional

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