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In a CNN, each filter produces one feature map regardless of the number of input channels. For your example: Single channel input : The input image has 1 channel of size $ 224 \times 224$. First Layer: 64 filters (each $ 3 \times 3$) are applied to the input. Each filter convolves over the input channel, producing 1 output channel (per filter).
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