Andrew’s image is slightly misleading.
Height and Width for an image is part of “r”, resolution.
Depth “d” is the “depth of network layers”.
Width “w” is the number of channels created by multiple filters in convolutions.
Here is the another thread about the width.
Hope this helps.
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Dear Nobu Asai
Tones of thanks, its so much clear for the overall picture.
Regards,
Jack
where is the link of video?
The video is in the Deep Learning Specialization, Course 4, offered on Coursera.