Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)

codebasics

3 года назад

930,392 Просмотров

Ссылки и html тэги не поддерживаются


Комментарии:

@remitriadi-dy8hk
@remitriadi-dy8hk - 08.12.2023 12:54

So you're telling me CNN is just minesweeper?

Ответить
@user-tsynwei
@user-tsynwei - 30.11.2023 05:08

❤🙏

Ответить
@danielpopoola142
@danielpopoola142 - 29.11.2023 15:44

This is so amazing, simple and easy to understand.
Thank you @codebasics

Ответить
@itz_me_imraan02
@itz_me_imraan02 - 27.11.2023 14:41

Going to watch all videos

Ответить
@itz_me_imraan02
@itz_me_imraan02 - 27.11.2023 14:38

💜

Ответить
@Rdupeyrot
@Rdupeyrot - 26.11.2023 01:04

Thanks a lot. Many online teachers considers as natural the conceptual operations that convolution does (edges, colors, etc) and just show a diagram with balls connected as if it explains everything 😜 You go deep enough by explaining clearly, and for that, thanks!

Ответить
@aakidatta
@aakidatta - 23.11.2023 22:59

I have taken LinkedIn courses and few others and I must say, this is the best explanation I have found so far. Thank you Dhaval Sir 🙏

Ответить
@majidaalizadeh1380
@majidaalizadeh1380 - 23.11.2023 06:06

Thank you for this incredible work

Ответить
@aliceli598
@aliceli598 - 17.11.2023 04:01

you're so good. my fav

Ответить
@pramithsuresh9736
@pramithsuresh9736 - 15.11.2023 09:40

Great work on the content... gotta work on your humour though 😅... it's kinda awkward

Ответить
@shreyasbhargava55
@shreyasbhargava55 - 08.11.2023 02:40

Sir you are great what a great explanation of CNN

Ответить
@hibanazar13
@hibanazar13 - 20.10.2023 16:19

You are a legend..you make learning much easier sir..thank you so much 👏

Ответить
@scotthalpern5631
@scotthalpern5631 - 17.10.2023 16:13

This video os fantastic.

Ответить
@kartikeyjangir6003
@kartikeyjangir6003 - 07.10.2023 16:50

Why you are doing overacting, teach like a professional. Look very cringe

Ответить
@rb4754
@rb4754 - 05.10.2023 07:09

Super explanation... Still only 800k subscribers. This channel deserve to be millions. You are the best tutor of ML and Data science without doubt. I wish I had come across your videos earlier.

Ответить
@ham370
@ham370 - 04.10.2023 15:37

You are so good man

Ответить
@TravelWithAD
@TravelWithAD - 01.10.2023 16:30

This is the best neural network video I have seen. You are the best

Ответить
@andreaswauran03
@andreaswauran03 - 27.09.2023 08:48

Easy to understand that lesson. Thank you so much, have a big respect for me

Ответить
@mdmusaddique_cse7458
@mdmusaddique_cse7458 - 22.09.2023 16:14

Wonderful. As always!

Ответить
@zainulabideen_1
@zainulabideen_1 - 16.09.2023 16:58

Sir you are amazing.

Ответить
@whoami8247
@whoami8247 - 11.09.2023 17:25

Great

Ответить
@sonofgod00
@sonofgod00 - 08.09.2023 18:52

thank you Sir

Ответить
@explorerpragun431
@explorerpragun431 - 02.09.2023 08:39

Thanks

Ответить
@aryanverma1951
@aryanverma1951 - 31.08.2023 09:47

I have come so far in your playlist, but now I am losing dedication, please guide me if you see this comment .

Ответить
@aryanverma1951
@aryanverma1951 - 31.08.2023 09:45

Sir I am trying to work on skin disease classification , and the codings give me a lot of error , please guide me a video on that.

Ответить
@zibraanahmed1812
@zibraanahmed1812 - 24.08.2023 16:46

Explicitly explained! The best expalanation thus far. Kudos to you sir :)

Ответить
@learnofficial7201
@learnofficial7201 - 23.08.2023 17:18

Amazing

Ответить
@rocklee3254
@rocklee3254 - 16.08.2023 21:56

can we get the presentation slides?

Ответить
@shafagh_projects
@shafagh_projects - 16.08.2023 16:07

You are a genius. love your tutorial. 🌹

Ответить
@lontongtepungroti2777
@lontongtepungroti2777 - 13.08.2023 16:42

amazing wow thank you very much sensei 🙏🙏🙏 I hope all your family have happy life 🙏

Ответить
@Tolazytoedit435
@Tolazytoedit435 - 11.08.2023 19:37

i want to make the fake logo detection project can you guide me

Ответить
@kavyat6051
@kavyat6051 - 11.08.2023 15:16

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

Ответить
@rohitnegi9309
@rohitnegi9309 - 09.08.2023 07:17

Amazing Content 👏👏

Ответить
@sazeebulbashar5686
@sazeebulbashar5686 - 06.08.2023 04:36

May we have the presentation file !?!

Ответить
@rabiranjantripathy588
@rabiranjantripathy588 - 25.07.2023 09:11

Great Explaination, I had ever.

Ответить
@tulsiroy8631
@tulsiroy8631 - 14.07.2023 11:09

I am actually a high school student(i am in 10th standard) and managed to understand it without any doubts, thank you so much sir!

Ответить
@karenmwangangi4625
@karenmwangangi4625 - 01.06.2023 21:35

Are you kidding me,,, you are an amazing lecturer. first time I have understood the layers I say !!

Ответить
@user-hv9wv7uj7s
@user-hv9wv7uj7s - 16.05.2023 17:48

This gentleman's sense of humor is so pure. That even the most cringe jokes made me laugh. Good job Sir!

Ответить
@ShradhanandVerma
@ShradhanandVerma - 11.05.2023 06:54

Very very helpful sir...

Ответить
@Ramya-zp7ew
@Ramya-zp7ew - 07.05.2023 20:07

THIS IS SOOOO GOOOODDD. SUCH A NICE EXPLANATION

Ответить
@codinghighlightswithsadra7343
@codinghighlightswithsadra7343 - 27.04.2023 15:16

Amazing explanation, thank you so much

Ответить
@jatinderkaur2030
@jatinderkaur2030 - 24.04.2023 12:39

I used to hate Machine Learning but you made me love it ...that is the power of a brilliant tutor!!

Ответить
@mariamIbrahim5848
@mariamIbrahim5848 - 17.04.2023 06:17

Best explanation!

Ответить
@plouf1969
@plouf1969 - 15.04.2023 15:42

Excellent explanation of CNN!

Ответить
@invinciblearmyvlogsshorts7911
@invinciblearmyvlogsshorts7911 - 10.04.2023 19:00

cute looking koaallllaa 😂

Ответить
@c1inward346
@c1inward346 - 10.04.2023 15:50

I love you're explanation, very intuitive in how you go about things. as a testament to that fact, when you consider classifying an image of a monkey let's say - a monkey has an eye, ear, nose, mouth, hands, legs, and tail - you take the original image of your monkey and apply convolutional operation (filter operation) to create your convolutional map for these small parts that make up a monkey. the filter map is not restricted to just a 3 x 3 filter, you could have a 4 x 4 or a 5 x 5, etc. then from these individual filter maps you aggregate the maps to form a larger generalization for the monkey (does the part correspond to a body or a head perhaps?) to which you can infer the class of the animal to be a monkey or not. a very interesting video, and I'm sorry if my explanation doesn't do the concept justice but I'm pretty sure it's somewhere along those lines 🙂.

Ответить
@DnyaneshwarPanchaldsp
@DnyaneshwarPanchaldsp - 09.04.2023 23:48

Very nice and understand clearly thank you

Ответить
@adityasrivastava78
@adityasrivastava78 - 01.04.2023 06:23

You are an awesome teacher !!!

Ответить