CNN Architecture | LeNet -5 Architecture

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In this tutorial, we unravel the layers and workings of LeNet-5, a pioneering CNN architecture. Whether you're a student, developer, or just curious about neural networks, this video provides an accessible breakdown of LeNet-5. Watch now to deepen your understanding of CNNs and their applications in the field of deep learning!

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⌚Time Stamps⌚

00:00 - Intro
01:19 - CNN Architecture/RECAP
09:47 - LeNET
16:15 - Code Example
19:20 - Outro

CampusX

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Please finish this series as soon as possible...every one is waiting for your precise content.... I sincerely applaud you.

MonikaSingh-nusg

There is no any other person in yt who could teach data science like you sir. Keep it up 🙏🙏🙏

Keep_Laughfing

I cant understand why there are so less views with content like this. The explanations are very good and one beginner can understand this.

kanhabansal

What a simple and a wonderful lecture which simplifies the explanation of CNN and its elements. Thank you for this video 😄

rijokuruvilla

Daily utube pr notification ata hai to 😀y sochta hu ki kaas har bar campusx se aye 🔥
Everyone is hungry for your content sir 🔥🔥

examtips-iitian

Happy teachers day sir 😇 you are the greatest teacher of my life. Can't thank you enough 🙏❤

rishabhvyas

Sir, You are the best .. Request for other ANN algo - like RNN, LSTM, Autoencoders, GAN :-)

SidIndian

thankyou so much sir I learnt so much from you, thankyou so much for all your efforts .Happy teachers day sir

thebestofbest

Nitish Sir, just one query: you are flattening the tensor after second polling and then passing the resultant to FC Dense Layers. Isnt it loosing the spatial representation that is there in the data? Insead can we not convolve a fully connected convolution layer to produce a vector of size 120? model.add(layers.Conv2D(filters=120, kernel_size=(5, 5), activation='tanh')) and then flatten the data and then pass it through FC Dense layers? our main objective is to use convolution operation to learn the spatial representation or I am I missing something?

saptarshisanyal

Hello Nitish sir. I learnt a lot from. Not only ml but quality, consistency to provide quality education for students. Thank you so much sir.
HAPPY TEACHER'S DAY.

sujithsaikalakonda

i) LeNET first cnn architecture ii) AlexNet iii) GoogleNet iv) VggNet v) ResNET vi) Inception

sahuchiragshyamlal

Please upload videos fast.. ;-;.. I m in much need for your contents.. ;-;..

k-AE-MDWazidAnsari

Please finish this series as soon as possible, my project in computter vission

life.

Thank you sir ap itne ache tarah se teach kar rahe ho like on fire 🔥🔥 thank you so much sir ❤️

Sir ap fast fast ye playlist complete Karo plzz.
Sach bat Batau to me apke video ke notification ke intejar me rehta hu like sir kab next video upload karenge

Sir like Sahi me ap jis tarah se hame teach kar rahe ho na matlab pake jese ml, dl koi or pada hi nahi sakta
Ap hard se hard concept ko itne asan ways se batate ho na ❤️
Thank you sir

Makenew

excellent content as usual, please upload more videos quickly, if possible. Also kindly give enough emphasis on transformers, RNNs and its applications in this series.

manishagrawal

How the convolution process occur in LeNet, when the output from first convolution is 14x14x6 and the filters in second convolution is 5x5x16,

If am i correct then how 14x14x6 input feature map is scanned(convolved) using 5x5x16 filters???

Please help

umerfarooque

This playlist has very few views because even after 41k views so far there are only 1.4k likes and only 50 comments. For YouTube algorithm, to suggest this video in search, there must be several likes and comments. So please like and comment at every video of this channel.

rb

I am getting error at input_size()
positional argument follows keyword argument

jknitk

Hi Nitish, pls cover other architrctures also like resent vggnet etc . dont be hurry in finishing the playlist pls complete it not just finish

rafibasha

Sir pls make a video on k fold cross validation
Sir maine abhut saara video dekha par usme acche se explain nahi Kiya gaya hai

Aap ek video banao aur statistics par bhi video banao
Apne playlist me dusre ka video daala hai

Sir it's very important for me I am watching only your video, getting understand with your video only

Humble request from honest student to best teacher

priyanshugupta

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