The coolest thing for me in pytorch is undoubtely the AutoGrad mechanism. The idea of maintaining a DAG for every updates and the traversing the tree during backpropagation to compute gradients is simply mindblowing. Not sure how this video is going to help an absolute beginner.
All research work is done in Pytorch and recently pytorch has increased compatibility for being used as the main workhorse for production level AI/ML applications (previously Tensorflow was the main choice) because of things like Torchserve, ONNX etc. And its very easy to use it with Hugging face transformers which is the main requirement in industry to use pretrained models to solve problems.
Bro i think you need to make a some long videos you content is too details and so amazing but you need to some long video to express in better ways , Its just my opinion bro
You're doing a fantastic job! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?
More Resources!
Gradient Descent: th-cam.com/video/bbYdqd6wemI/w-d-xo.html
Training Models in PyTorch: th-cam.com/video/vVrASMLVBnY/w-d-xo.html
CNNs Explained: th-cam.com/video/hNEAk07gWdc/w-d-xo.html
First-Principles Framework (Learn Fundamentals): bit.ly/3OBetBj
Beginner's Blueprint (Build Projects): bit.ly/3VhhFWe
Chat with me 1-1: calendly.com/gptandchill/1-on-1-with-dev
Woah, 10 min+ video
The coolest thing for me in pytorch is undoubtely the AutoGrad mechanism. The idea of maintaining a DAG for every updates and the traversing the tree during backpropagation to compute gradients is simply mindblowing. Not sure how this video is going to help an absolute beginner.
Why the video title change? No more clickbait?
So what’s the unfair advantage of learning pytorch?
All research work is done in Pytorch and recently pytorch has increased compatibility for being used as the main workhorse for production level AI/ML applications (previously Tensorflow was the main choice) because of things like Torchserve, ONNX etc. And its very easy to use it with Hugging face transformers which is the main requirement in industry to use pretrained models to solve problems.
@ i mean the video promised to discuss this unfair advantage. Instead we got another pytorch tutorial
Bro i think you need to make a some long videos you content is too details and so amazing but you need to some long video to express in better ways ,
Its just my opinion bro
You're doing a fantastic job! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?
Bro make more videos your very informative
Instead make project of pytroch at every step
goated.