Everything You Want to Know About ONNX

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Күн бұрын

Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Watch this webinar recording to understand what is ONNX and how to get started with it.

Пікірлер: 28

@rahulkalidindi5550 3 жыл бұрын

Always loved how you explain each topic with such detail. Appreciate if you post an article or video on how you keep up with all the technologies and best sources to read about them.

@qiulinzhang1439 3 жыл бұрын

Excellent works for beginners like me, the way from the big macro architecture and their inner relations to the small code details makes me understand onnx more clearly. I can say this is one of the best material for me to take one step into model deloyment. Thank you.

@jameslu1202 3 жыл бұрын

Explained a quite involved subject in a very clear manner, job well done!

@ravitan85 3 жыл бұрын

Fantastic explanation. When I started I had no clue what ONNX is, but after watching this one hour video I am pretty confident before start to working with ONNX. I, however, request you to please upload video on how to use ONNX model for production purposes like running it on mobile phones.

@asadraza8335 2 жыл бұрын

Thanks for the video. it is very informative and helpful in understanding ONNX

@anuragp389 Жыл бұрын

Brilliantly delivered!!

@rsilveira79 3 жыл бұрын

Nice video 👍, thanks!

@mpty2022 3 жыл бұрын

thank u... excellent tutorial

@user-fi8ii5fx3b 3 жыл бұрын

Nice video mate. Well done

@prudvi01 3 жыл бұрын

Thanks for this amazing video! I was able to convert the .onnx model to .pb but it doesn't show much on netron and the inference is incorrect. Any suggestions where I might be messing up? (was able to get proper inference on the .onnx model converted from .pth)

@harshalnayanrathi9871 11 ай бұрын

A great tutorial on ONXX. Could you please make the code available🙏

@ShittheswaranSelvakumar Жыл бұрын

Thank you for the explanation..

@atharvahude 2 жыл бұрын

Best explanation

@OneNewBoy 3 жыл бұрын

Thanks a lot!

@tmbrye2 2 жыл бұрын

I've been tasked with writing a scoring program for any ONNX model that I'm giving. My question is like in your example you used the Iris dataset. I did not see anywhere in the model where it defines that your float array must be in the exact order of say sepal length, sepal width, petal length, and petal width. Is this information not available in the model and if sharing a model with others must you give them this information by hand or is it contained in the model somewhere? Thanks.

@dineshpiyasamara1st Жыл бұрын

Great explanation...

@anuradhadas8795 3 жыл бұрын

"The name 'add_4:0' refers to a Tensor which does not exist. The operation, 'add_4', does not exist in the graph." This is the error am getting whenever am trying to run the final infer through tensorflow. (1.02.46) Any idea how to solve this? Or any material I can refer to understand how to define these names?

@tubasweb 25 күн бұрын

Can you make an update video onnx?

@akash_a_desai 2 жыл бұрын

can you please explain how to do inference of yolo v3-v4 models?

@QuotableWebisodes Жыл бұрын

Awesome webinar. I wanted some help regarding ONNX runtime and I’m unable to get it anywhere on the internet. I request you to reply to this comment if you will be able to help sir.

@muhammadiqbalbazmi9275 Жыл бұрын

Excellent explanation!😂

@kashitaniranjanudayangag.w2684 11 ай бұрын

when i call tf_rep.export_graph('model.pb') to export onnx to tf model, it gives following error. can you please help? x = input_dict[node.inputs[0]] KeyError: 'input.1'