# Feature map of a convolutional layer [duplicate]

Say there is a convolutional layer that has 8 filters of size 3x3 and takes as input 28x28x1 images.

Then the output size will be 26x26x8.

So how are there 8 26x26 feature maps for that layer or just 1 26x26 feature map? If the answer is 1 feature map then how is it created since the output has 8 channels?

Each channel corresponds to a $$26 \times 26$$ feature map, hence the answer to your question is that if the output has dimensions $$8 \times 26 \times 26$$, the output has 8 feature maps.