Whiteboard Wednesdays - Convolutional Neural Networks (CNN) Architecture

[@leelavathigarigipati3887]

Thank you for simplification of a complex network.

[@ramesherrabolu1590]

thanks for a simple overview. Would like to suggest that the two videos be linked so that someone new can come to watch video 2 after watching video 1

[@vickysharma9227]

Great Video, Very clearly and easily explained concept.

[@suleimanmustafa1473]

Great explanation helps to understand CNN thank you

[@JayAmielAjoc]

wow superb explanation, very easy to understand

[@muruganandanarumugam1617]

Short and sweet explanation and really your doing good job keep it up!!

[@nurzhanamantay8729]

Thank you very much, great explanations

[@qzorn4440]

An attractive lecture on CNN. Thanks.:-]

[@uel9300]

very well explained thank you

[@basiliyostilahun5327]

Thank you for the brief explanation!

[@qwas3940]

thank u we want more about CNN

[@ankitchimaniya7894]

very well explained

[@mohammadwahba3077]

Great vedio, Thank you and i hope you more progress.
How i can apply the CNN for 1D?
i have reflected signals from landmine each 1000 signals represents a class "metallic landmine" and 1000 raw signals represents "plastic landmine".
thanks

[@suhadaalzhra4138]

very good expression, Thank you and hope you to explain that by mathematical example and follow it from first to last layer. regards

[@alyciakara5258]

great!! thank you for the explanation

[@harshgrover5207]

great explanation !

[@suyash.01]

extremely helpful!!

[@ravikanthkatriyala9311]

Madam please explain me how the convolution done with the filter in rgb images

[@roy_shuvo]

Thank you

[@krishnamishra8598]

why do we use convolution ??? why not just simple ANN in case of image ?? main question is what is need of convolution in CNN?? please Answer....

[@rozanaalam6214]

brilliant!

[@edu_ka9274]

How value of filter decided

[@ram54321]

i dont got what u told