watching this and hugging face's latest NLP course together. Concepts become much clearer. I would "request" to take this series ahead till the latest nlproc research paper's architecture implementations. Thanks much
Just completed the series in parallel to DL Specialisation by Andrew NG(second run cause I did not understand it to the core in the first one.). I loved the content you put on this channel. It is very interesting to observe how what you speak fits right into my mind. Absolutely in awe!
Just completed the series.. Thanks a lot for simplifying the PyTorch implementation to this extent. As a token of appreciation, I have ordered your book from Flipkart.
Thanks for the tutorial very helpful. However the output from the NN when run on cpu and gpu were different (in the video). What seems to be causing the difference?
Dude, I've noticed that many people especially on Kaggle use tf 2 or Keras. What do you use? I understand that Keras makes things much faster development-wise compared to PyTorch, I would love to hear your opinion.
On a roll I see, just saw the previous one. I am training for an NLP career and the only road block I am running into is that I have no idea what an business requires from an NLP engineer. Can you please recommend me a book specifically on this topic (or any resource). Also Abhishiekh, If you agree I would like to offer to be your assistant in NLP/Deep Learning for Free. I can do research or data preprocessing or Named Entity Recognition tasks. I just want some real life experience and maybe in exchange I can shave off some laborious tasks from your schedule.
Please continue the series. Its helping me alot. Thanks.
watching this and hugging face's latest NLP course together. Concepts become much clearer. I would "request" to take this series ahead till the latest nlproc research paper's architecture implementations.
Thanks much
glad you like it... which ones specifically?
Just completed the series in parallel to DL Specialisation by Andrew NG(second run cause I did not understand it to the core in the first one.). I loved the content you put on this channel. It is very interesting to observe how what you speak fits right into my mind. Absolutely in awe!
Really enjoying this pytorch series. Looking forward to more video :)
Nice Explanation,Sir. Needs More
Very Awesome Series, please keep adding more videos, really enjoyed, thank you so much!
This series is the best🔥🔥
Please keep making more such videos!
Thanks your videos are good !!!
Still waiting for your NLP book (I loved your first one !)
yeah eagerly waiting for it
NLP book will eventually come this year. Glad you like the videos :)
More lectures please in this series !
Really enjoying this Series. Looking forward to next video.
yay!
Will you upload more videos in this series?
Just completed the series.. Thanks a lot for simplifying the PyTorch implementation to this extent.
As a token of appreciation, I have ordered your book from Flipkart.
Thanks for the tutorial very helpful. However the output from the NN when run on cpu and gpu were different (in the video). What seems to be causing the difference?
I believe the difference is due to the randomness in the initialization of the model's parameters from the nn.Linear layers.
Dude, I've noticed that many people especially on Kaggle use tf 2 or Keras. What do you use? I understand that Keras makes things much faster development-wise compared to PyTorch, I would love to hear your opinion.
Awesome video. Thank you very much. :)
Can u please do a tutorial on batch sampler?
i will as we progress :)
Making lives simpler, one layer at a time ;)
🤗
results are not same. Am I miss iterpretting?
sir please made machine learning algorithm's tutorial from scratch also please
which ones specifically?
On a roll I see, just saw the previous one. I am training for an NLP career and the only road block I am running into is that I have no idea what an business requires from an NLP engineer. Can you please recommend me a book specifically on this topic (or any resource).
Also Abhishiekh, If you agree I would like to offer to be your assistant in NLP/Deep Learning for Free. I can do research or data preprocessing or Named Entity Recognition tasks. I just want some real life experience and maybe in exchange I can shave off some laborious tasks from your schedule.
Clotilde Canyon