C4W3L03 Object Detection

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Комментарии
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Sir you are awesome. i regret not visiting this channel earlier. Thanks a lot sir.

sanketjadhav
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These lectures are really amazing so far. Thank you so much, Sir.

daiduongduong
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Very nice explanation.Slowly gaining confidence in deep learning.Please continue watching all the videos in this playlist

sandipansarkar
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First, i think i just watch 1 video, now i watched 5 of them, and i still keep watching ...

lynngreen
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I am using CNN's with a lot of layers. They use padding so that the input size doesn't shrink. This makes this approach not so straight forward. Any idea how to deal with that? Another case are Resnet like blocks, which have different convolutions on different paths merging. Without padding this is difficult, any idea?

ChristianBrugger
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I have watched 25 videos that were very interesting but you so far have not addressed the issue of how to compute the gradients in CNNs

carmelocalafiore
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If the covnet is trained for a specific size of the image, how will it predict 0 or 1 for a different size of the image when we increase the size of the input image ?

arjunbali
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HEllo please how can we do our own implementation of Faster RCNN without using pre-trained models?

salmahayani
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I failed to find C4W3L05 video. Can anyone help?

KevinKuei
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1:32 Image classification at pixel level...

inquisitiverakib