Thanks for the video! I am interested in adding a new custom operator to onnxruntime in C++, but there isn't any example for it. Does anyone know of one?
Can I train it on Pytorch in Python and run the model in in Java, Javascript, C++, and more? I am talking about RNN, Transformer, fastRCNN, and more advance model.
OMG, please show the slides more than the presenter. I can never finish reading most of the slides because they are shown for only a few seconds. This is very, very, very annoying and disappointing.
![WE GOT ACCESS TO GPT-3! [Epic Special Edition]](/img/n.gif)
Really awesome presentation skills, simply precise and clear.
Thanks for the video!
I am interested in adding a new custom operator to onnxruntime in C++, but there isn't any example for it. Does anyone know of one?
very informative talk!
Nice work.
Can I train it on Pytorch in Python and run the model in in Java, Javascript, C++, and more? I am talking about RNN, Transformer, fastRCNN, and more advance model.
yes
OMG, please show the slides more than the presenter. I can never finish reading most of the slides because they are shown for only a few seconds. This is very, very, very annoying and disappointing.
Slides can be found on the website in the show notes
@@the_notorious_bas thanks.
I cant get mlmodel to onnx converter to work on mac
Too short a time showing slides. Constantly need to backup & pause to digest slides.
39:03 references
Good presentation badly edited, the ratio of presenter footage to slides is awful. Some slides are barely on the screen for a second.
makes a good podcast tho
I was screaming at the screen after about half way. Very annoying!
Pranav Sharma bhai, please bring toilets to us in India
But we should build deep learning model first and make it learn how to make a toilet
@@kikirizki4318 benar!
@@indahpratiwi4308 why do you know I am an Indonesian?