Convolution Neural Network || CNN Easiest Explanation | What is Filters,Pooling and Padding in CNN

[@harshitmalhotra8627]

Why isn't youtube recommending this video, it is so good. Cleared all my doubts.

[@kimiahosseininejad8098]

The greatest explanation of all times. After all this time I finally understood CNN thanks to your fantastic effort. Keep up the perfect work! looking forward to your next videos.

[@chitrabhardwaj7554]

Amazing, great work. such a crisp and beautiful explanation.

[@Devils_Relaxed_Soul]

KEEP IT UP BUD

[@RanjanSharma]

Thanks for the visit :-)

[@deeptisharma9379]

very informative and knowledgeable video

[@aashishrana9356]

i love your videos , please keep making it i will share it to my friends and in my network

[@sudippandit1]

Excellent explanation!! Keep it up please upload the RNN as well

[@RanjanSharma]

Will upload soon

[@jonasrigodon3026]

absolutely genius

[@Microraptorofmillinea]

best teaching

[@BVRaju-ug3dm]

great tutorial

[@muhammadfahadmunir4428]

Dear Sir, I learned alot from this video... please make videos on predefined networks available in Matlab

[@viveksrinivas548]

Thank you

[@RanjanSharma]

You're welcome Keep Exploring :)

[@shahinzamanzoor9635]

hi i have a question .what is the main purpose of setting a different number of filters like 32,64,128??

[@gogosharma4959]

nice explanation....Can CNN detect real time Object ? Can we use CNN in Open CV ?

[@RanjanSharma]

Yes we can .

[@muskanrath7125]

Could you please share videos of CNN Architectures like LeNet, AlexNet, GoogleNet, ResNet, Fast R-CNN?

[@buntyrawat9362]

Waaoo

[@RanjanSharma]

Glad you liked it :-)

[@Sikanderhayat33]

kindly share the notebook of this lecture please ?

[@RanjanSharma]

PPT is shared in the Google Drive

[@soujenyavoggu273]

Ppt