Hi Thomas,
I have ordered the book recently. But shipping cost is higher (paid half the amount for shipping)
Hi Thomas,
I have ordered the book recently. But shipping cost is higher (paid half the amount for shipping)
Would you recommend jumping into Deep Learning with PyTorch without going through all the concepts in Conventional Machine Learning?
What is the best way for someone who wants to explore and understand the internal structure of PyTorchโs core features like the differentiation engine(basically the entire structure)?
Another question I have is, according to you is there a prerequisite before one starts looking at the codebase of PyTorch or diving into the internals? If yes, at what stage one start looking into source code?
As a debian developer, who was contributing lot of code to Debian projects. How was your pivot to deeplearing? What are things someone need to look when pivoting to a ML /Data science roles?
@bhutanisanyam1 You mentioned that you have covered NLP with Huggingface elsewhere when you covered this question. Could you point us to the videos/recordings please?
Many thanks
You can see the playlist of the recordings here: W&B Study Group: fastai w/Hugging Face
I feel your pain, it is the same for me, so I mostly miss out on their printed books.
I wonder whether they might partner with a bookstore here to ship books, but I guess booksellers here are not used to / adverse to discounts for books (given that there is treasured fixed-price regulation for domestic books).
Can you send me an email?
We do cover PyTorch mobile in Ch 15, but after the book came out, PyTorch gained a function to re-build PyTorch with only the operators needed by your model. This helps if app size matters.
Hi Thomas,
Sure, I will drop a mail to you. I checked their distributor address for India, Bhutan and the given publishers seem inactive and no Manning books have found in their website (dreamtechpress). So I had no other option to buy book. And add to shipping cost, my issuer bank charged me for money conversation.
Hi everyone,
This is my first reading group. Can someone share any link where I can understand how the reading groups work? Also, any suggestions on how to make the most of the reading group?
Thank you for the new series on PyTorch. This really helps in getting that much closer to implementing the papers in PyTorch.
@bhutanisanyam1 I wanted to know if there will be any live coding sessions for PyTorch models?
For me, Iโm focussed on making sure the PyTorch book reading group is in the best shape possible-so I might plan for a livestream later.
For now, my incredible colleague: @amanarora has been hosting a few live coding sessions. Checkout the resnet one here: ResNet - Live Coding in PyTorch - Wed Sep 15, 9pm IST
Yes the ResNet coding session was awesome.
ResNet on paper is great, but when one has to code it from scratch things become a bit frustrating and interesting
Thanks! I am glad you enjoyed the session!