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Trained a single layer neural network in C to predict AND GATE from scratch using gradient descent and Batch training of dataset in almost 300K epochs
81,439 görüntüleme • 7 ay önce •via X (Twitter)
28 Yorum

Noicee

Crazy buddy 🥶

@HarshJain_Coder Thnx

oohh cooooll

Thnx

Woo super cool bhai

cool! this is pretty nostalgic, i made a little neutral network library and predicted xor gate as an example. @DuskyDaily made a pr and that's how we met!

@DuskyDaily Xor gate, nice bro Pls do share me the library Btw did u used mean square error method or something else for error optimization

@DuskyDaily mean squared error if I remember correctly

Right what I needed to see Thank you

damnn cool

Lesgoooo

Cool

How tf did u run 300k epochs ?? how long did it take to complete that ??

45 sec

I'm on i3 2nd gen Pls show some mercy

superbb

Kindly check your dm.

Keep going buddy like this

Cool, I will try to do the same but with ReLU and the nonlinear gradient descent algorithm.

@clumsyaf222 cuda or cpu?

@clumsyaf222 i3 2nd gen Dual core processor Forgive me for not having a good processor

Insane brother. Now predict XOR gate

Yes

damw it's is soo cool

Which GPU you have for run 300K epochs 🫨

i3 2nd gen Intel processor 🤣

Not possible 😂


