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.
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.
Really awesome presentation skills, simply precise and clear.
very informative talk!
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.
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?
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
Too short a time showing slides. Constantly need to backup & pause to digest slides.
39:03 references
I cant get mlmodel to onnx converter to work on mac
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?