ONNX and ONNX Runtime

[@arslanali900]

Really awesome presentation skills, simply precise and clear.

[@leicao9199]

very informative talk!

[@galdavid6878]

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?

[@qiulinzhang1439]

Nice work.

[@jonathansum9084]

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.

[@areebmuzaffarsyed859]

yes

[@briancase6180]

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.

[@the_notorious_bas]

Slides can be found on the website in the show notes

[@briancase6180]

@@the_notorious_bas thanks.

[@kengustafson8653]

Too short a time showing slides. Constantly need to backup & pause to digest slides.

[@poolplayer322]

I cant get mlmodel to onnx converter to work on mac

[@kartikpodugu]

39:03 references

[@sgccarey]

Good presentation badly edited, the ratio of presenter footage to slides is awful. Some slides are barely on the screen for a second.

[@prudvi01]

makes a good podcast tho

[@briancase6180]

I was screaming at the screen after about half way. Very annoying!

[@indahpratiwi4308]

Pranav Sharma bhai, please bring toilets to us in India

[@kikirizki4318]

But we should build deep learning model first and make it learn how to make a toilet

[@indahpratiwi4308]

@@kikirizki4318 benar!

[@kikirizki4318]

@@indahpratiwi4308 why do you know I am an Indonesian?