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Take my courses at mlnow.ai/!
you're an absolute legend, thank you for this!
Hi, nice video, thanks. I think you defined the dropout layer but didn’t apply it in the forward pass.
Amazing video!! Thank you 😊
And thank you for the support :)
Good content. Thank you Greg.
Glad you enjoyed it!!
Why are you shutting down your kernel instead of simply changing the value and running the next blocks ?
The gpu don't explode because the 28x28 images occupy low memory. I have a 1070ti and i was surprised as well. However if you try the imagenet 224x224x3 images if you have a high batch size such as 512 it explode.s
Yeah, absolutely, the bigger it gets the more likely it will boom boom
Hey Greg ,amazing Video ! Do you have content that covers database since SQL is part of a data scientist job ?
Thank you! Yes I do, you can search my channel for SQL content.
Dude, u've saved me❤
Woot! 🥰
Extremely informative video! Would you mind sharing your pc specs Greg?? Specifically the gpu and its vram..
Rtx 4080 with the 13 gen i7 cpu, 32gb ram
Hey, Greg, thanks a lot for this videoCould you tell please your jupyter notebook setup that looks so pretty?
Thank you! I think I just googled something like dark mode for jupyter and followed some quick instructions.
Dear thank you for uploading informative videos. Can you share link or make video on Random forest implementation using pyTorch. Thanks
Pytorch is for deep learning, random forest is a classical algorithm
Greg, could you share your's PC setup?
It's brand new, pretty much state of the art. Rtx 4080 with the 13 gen i7 cpu, 32gb ram
What's your gpu?
Currently a 4080
Take my courses at mlnow.ai/!
you're an absolute legend, thank you for this!
Hi, nice video, thanks. I think you defined the dropout layer but didn’t apply it in the forward pass.
Amazing video!! Thank you 😊
And thank you for the support :)
Good content. Thank you Greg.
Glad you enjoyed it!!
Why are you shutting down your kernel instead of simply changing the value and running the next blocks ?
The gpu don't explode because the 28x28 images occupy low memory. I have a 1070ti and i was surprised as well. However if you try the imagenet 224x224x3 images if you have a high batch size such as 512 it explode.s
Yeah, absolutely, the bigger it gets the more likely it will boom boom
Hey Greg ,amazing Video !
Do you have content that covers database since SQL is part of a data scientist job ?
Thank you! Yes I do, you can search my channel for SQL content.
Dude, u've saved me❤
Woot! 🥰
Extremely informative video! Would you mind sharing your pc specs Greg?? Specifically the gpu and its vram..
Rtx 4080 with the 13 gen i7 cpu, 32gb ram
Hey, Greg, thanks a lot for this video
Could you tell please your jupyter notebook setup that looks so pretty?
Thank you! I think I just googled something like dark mode for jupyter and followed some quick instructions.
Dear thank you for uploading informative videos. Can you share link or make video on Random forest implementation using pyTorch. Thanks
Pytorch is for deep learning, random forest is a classical algorithm
Greg, could you share your's PC setup?
It's brand new, pretty much state of the art. Rtx 4080 with the 13 gen i7 cpu, 32gb ram
What's your gpu?
Currently a 4080