Everyone explains Linear Regression and tells that this is Machine Learning . But you talk about more advance stuff ( Eg: I love your NLP videos.) The Only reason I love PyTorch is because of you. Your Channel deserves to be the best for Data Science.
Your tutorials are always golden! I consistently have an easier time applying concepts learned from your videos contrary to others. Thank you for sharing your skills!!!
I'm so struggling while understanding class based structure in pytorch 🙄 please consider this OOPS concepts in next tutorials Thanks lot for series we really appreciate it 🙂
Bro I would highly recommend brushing oops with hands on practice and solving 9-10 coding problems in oops and learning every OOPS concept in python in detail. I was having same issue, but now i am quite okay to understand oops in pytorch.
I don't understand the concept of contiguous tensors in pytorch, please give some example in your next video and share something that could be helpful.
Thanks Abhishek, this is what i was expecting thank you for starting this series.
Most welcome!
Everyone explains Linear Regression and tells that this is Machine Learning . But you talk about more advance stuff ( Eg: I love your NLP videos.) The Only reason I love PyTorch is because of you. Your Channel deserves to be the best for Data Science.
Your tutorials are always golden! I consistently have an easier time applying concepts learned from your videos contrary to others. Thank you for sharing your skills!!!
Thanks for starting this series. I always wanted to start learning Pytorch and this content is going to help me a lot.
Waiting for this series from long time... Thanks for this course
I'm so struggling while understanding class based structure in pytorch 🙄
please consider this OOPS concepts in next tutorials
Thanks lot for series we really appreciate it 🙂
Bro I would highly recommend brushing oops with hands on practice and solving 9-10 coding problems in oops and learning every OOPS concept in python in detail. I was having same issue, but now i am quite okay to understand oops in pytorch.
Thank you for creating these tutorial videos. Really appreciate your efforts!
Much awaited, thanks Abhishek 😊.
Hope you like it!
Thank you so much ,we are looking for this series
i love your course ,,,Love from NEPAL..
Best pytorch tutorial 🔥🙏.
Beautifully explained!!
Thank you sir. Can't wait for the next lecture.
Hi Abhishek, for concatenation, should I put in it the def forward or def init?
Thank you so much sir! Was really waiting for this
thank you brother you were fantastic and still you are :D
Quality 🔥🔥🔥
What happened to the NLP basics playlist , any plans to complete it boss ?
Here we go.... 🤟🏻
what are your motivations behind choosing DS as your career? How are you able to stick to it for so long?
Thank you sir, waiting for it:)
Always welcome
Much needed! Thanks a ton. 😀
You're welcome 😊
Which theme are you using for Jupyter? :p
Hi Abhishek! Could you please make a video on Handling missing values? Thanks.
Will do soon
@@abhishekkrthakur Please do consider including cases where there is missing values in Target variable.
If it's possible for you to make videos on Oops please make 🙏
Great!!
Thanks Sir❤️
Simple Question. Can pytorch use Mac's AMD GPU for acceleration?
Are you gonna dive deep into some theory or just focus on practice ? (personally i prefer practice and coding)
This is great
Thanx a lot ❤️
Thank you so much.
I don't understand the concept of contiguous tensors in pytorch, please give some example in your next video and share something that could be helpful.
Thankyou sir.
Most welcome
Please Do Some More Sir!
nice
1st with I don't how many others 😂
yay!
Thanks to HuggingFace🤗 🙏🏻 for giving this man some free time, so that he can come up with quality content for us 😂😂😂
Hahahahahahaha
😂
:D