Day 5-Understanding CNN &Impementation| Live Deep Learning Community Session

Thanks for great teaching.....

The best explanation ever for cnn💜

Thank you so much Krish..it's very useful. I learned a lot from your session.

Hi Sir,
Can you please suggest how we should proceed further in deep learning after completing this series?
Thank you

Sir we want separate community session for CNN and RNN only

Thankyou sir❤️🙌god bless you more and more🙌🙌

I needed a quick revision before an interview. Your videos never disappoint, Krish Sir. Thanks for the great work

Hello sir ,
We are currently given on a project topic " tomato leaf disease classification" sir can you suggest me how to proceed and the best architecture

can someone tell me are these videos enough for understanding the DL. for interview.

The Best teacher I have ever had <3
perfectos..

Hello sir,
Actually I am very much scared of mathematical part of ML, DL. Your way of teaching makes me to completely understand the concepts clearly. Thanks a lot .

Can you explain about the concept of Darknet CNN.

Also please explain how CNN is used in classifying attacks in intrusion detection.

Thanks For Making Amazing Playlist

thank you so much bhaiya for your wonderful sessions and efforts

Very good explanation , thanks a lot

hi im geyLun

I have enjoyed your session sir
Maja aa gaya.

u said there would be one more live session is it only for members?

Thank you for the online sesssion

❤❤❤❤❤❤

Sir plzz post the lecture on RNN also

I have no word to thank you love you sir

Many thanks for this, it clarifies to me that Cnn is not a mystery as it was before seeing this video. As a person that worked in image processing and is quite up with edge detection like Roberts and Sobell, contrast stretching and like this a formulation of all those into the units or segments and classification into one is really smart. In the 1980's we had to write our own batch processes to do the same thing. Now it's simple just in a matter of a call of few libraries and Walla it's done.
I wonder whether someone could answer a question I have on saving the compiled model or is this explained in The Transfer Learning. I also would like to use my own filter that I developed years ago to produced an image that produced a contour of increasing darkness of pixels toward the centre that is the centroid of an object. I want to be able to create a model on blobs and use my own filter.

I want the notes that is written by Krish Naik. For deep Learning. Please post the link to notes .

sir why you have not used softmax activation function in the last layer?

thank my big one

Max pooling will apply on the output after the Filter/kernal or on the pixel value that we have initially...?

Hello Sir, could you please make a video on frame extraction from a video using CNN algorithm?
Or please provide any useful link for the same concept.
It will be very useful for me.

Sir transfer learning video please

Big thanks krish

Well Done, Krish . Keep going ,,God bless you!

Perfect explanation

Thank You Sir !

Can any one give me link of deep learning live session notes please....

It was great session, thanks a lot 👍🏻👌

Thank you for this amazing video understood everything

calculation and matrix values could be better sir ..Thank you sir

Amazing Video. Thanks for all the great content Krish!

Thank you SOOO much sir for both nlp and do playlists.
Really helped a lot!
Wish you loads of evergreen growth ❤

Thank you this helped me a lot

Thank you sir

No one can teach this concept better than you

superb explanation

thank Krish for this video

this one video is enough for a beginner. thank you for this wonderful video as always.

great tutorial

How can we do the inference ..

hey where is rnn