backstopmedia/tensorflowbook

the first dimension of the kernel variable

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I don't understand the following sentence in 05_object_recognition_and_classification:

In the example code, there is a single kernel which is the first dimension of the kernel variable.

Acorrding to the document the shape of kernel is [filter_height, filter_width, in_channels, out_channels], the first dimension of the kernel is filter_height.