8. LeNet CNN - Complete Description and Implementation with Code.

[@SV-jl2qi]

This is one of the best. Simply superb.

[@kaushikramabhotla4635]

The simplest and precise explanation ever seen! thank you, sir

[@ShriramVasudevan]

Thanks Kaushik

[@SS-yh3ey]

Excellent teaching

[@profdurgahere9007]

Hello professor .. appreciate your efforts.

[@leeroypana7920]

you has 32x32 in slideshow, but in coding, that becomes 28x28 as input, that gets us confused with the 28x28 output in the slide

[@emanalsuradi4969]

Going from the input image to the first hidden layer, How do we generate 6 feature maps? Do we apply 6 different filters to the input image to get these 6 feature maps?

[@atmuriganesh9814]

nice explanation but it would be better if you had explained about why we got 16 feature maps

[@technologyhunter2460]

Lively and lovely explanations!

[@thangamng3919]

Clear explanation sir.
Can you please please tell me how to create a mat file in Python

[@leamon9024]

Nice explanation. Awesome tutorial! Thanks for the efforts and hardwork.
Could you provide the link of the sample code?

[@ShriramVasudevan]

Thanks

[@ShriramVasudevan]

In the git .. @shriramkv

[@leamon9024]

@@ShriramVasudevan Thanks sir.

[@lashimtimonkharsohtun3823]

give me

[@leeroypana7920]

i am confused, the first Dense layer takes a 1-D vector as input, so it outputs also a 1-D vector, why we need to flatten this output?

[@kunalchandrakar796]

sir i got error in history=model.fit() as saying for using self

[@anandnavaratna6407]

its very nicely explained and with brevity. Why dont you please share the code for reference and trying out in the description plz

[@ShriramVasudevan]

Thanks and its in my Git @shriramkv

[@ahmedhusham7728]

Thanks for this informative video, I'm working of detection the plants image. Can I apply this code for classification and detection?

[@ShriramVasudevan]

Yes. With some tuning.

[@ahmedhusham7728]

@@ShriramVasudevan Can I contact you?

[@venkykomatla793]

IN WHICH COMPILER WE HAVE TO RUN THE CODE
CAN YOU P;LEASE SAHRE THE CODE IN DESCRIPTION

[@anuragshrivastava7855]

you should also explain how we got 28,28 size and 5,5 and math behind it

[@SrikanthSiripalli]

but , how can we finalize that 1 as DOG . 0 as CAT

[@riyabee7306]

IS it possible to use extracted features as input to LeNet

[@ShriramVasudevan]

Yes

[@rakeshgnits]

sir, are we fixing 120 feature map and 84 feature map and softmax as 10 or is their any mathematical formula for this?

[@sumitkumar-hb9qq]

hey professor ...thanks for the simple explanation.
It would be great if you provide the code link in the description.

[@ShriramVasudevan]

Sure. Thanks brother

[@souravsh3708]

This is fantastic. Thank you

[@ShriramVasudevan]

Thanks sourav

[@rakeshgnits]

SIR i have understood 6 feature map, but how we get 16 feature map in step 3 i.e 16x10x10

[@ShriramVasudevan]

Let me clarify shortly..

[@rizwansuper009]

Sir can we change the value of feature maps or its already defined by default.

[@ShriramVasudevan]

We can.

[@lashimtimonkharsohtun3823]

where to get dataset and code

[@sukanyap885]

Good Explanation sir... Can you please share your code?

[@ShriramVasudevan]

Thanks and check in my git..shriramkv

[@swaminathanteamsak7420]

Nice session

[@ShriramVasudevan]

Thank you

[@muslumyildiz5694]

thanks

[@ShriramVasudevan]

You're welcome!