Torch.nn.Linear Module explained

This video explains how the Linear layer works and also how Pytorch takes care of the dimension. Having a good understanding of the dimension really helps a lot in understanding the neural network

[@unclemusclez]

i jut found your channel and i can not wait to watch all of your videos. this is awesome thanks

[@machinelearningwithpytorch]

Thank you

[@treksis]

BRO I finally got the super nice tutorial that fits to me. I'm old school math/physics guy all papers and pencil.

[@jazzvids]

Thank you! I didn't understand why the bias isn't of dimension 1 and this sorted it out for me

[@lucasmiras9296]

Best explanation I have found of nn.linear ! thanks

[@jefffang5691]

Thanks a lot! Definitely cleared up a lot of things

[@thrivefoxxgaming1120]

Explanation is clear... great job.. but the audio is little bad

[@yasinyuksel8803]

useful torch module videos, thank you for this videos

[@rahatkibriabhuiyan2426]

Here I have a observation, in the input data number of features are 3 and we have number of training samples 2. That's why the input_data matrix's shape is 2 by 3. And also the number of the neurons in input MLP layer = number of features of the input data i.e. 3. Plz make me correct, if my speculation is wrong.
And thanks for the interactive video.

[@Alam4545]

Nice explanation!!!

[@PhilipBrownEsq]

this video started off well, but it would ahve been better if it showed the implied second line of python code, explicitly

[@MohitKumar-er1qu]

amazing explanation!

[@brydust]

Good video but you are a little too quiet for me to hear even with all my audio turned up. But it's great content so I subscribed. Keep it up!

[@1life530]

Good work man!

[@cama708]

Thank you. This was really helpful!

Thank you! 💫

[@yawee12]

good job, thank you

[@mincraftgeek123]

Super helpful thank you so much.

[@mattf2808]

Amazing thank you!!!

[@zaharaddeensani6403]

Awesome thank you

[@1life530]

But please speak up because the volume of your voice is a bit low

[@muhammadnasir770]

amazing

[@sidhpandit5239]

Tysm :)

[@dw61w]

maybe a better microphone