Great video! I am using ONNX on several projects and it has become part of my standard toolchain. It is amazing how just a few years ago even installing cuDNN was a chore and now we have a universal instruction set for ML models.
Thanks again Yujan. Using deep learning for various applications has become very easy, even for non-experts. I am glad Facebook, Google and Microsoft are open sourcing their code.
I am really grateful, you chose this topic. I have one request , if you can make tutorial on using ONNX with cuda, It will be extremely helpful. Thanks !
Tks a looot for this upcoming series of videos. They´re right on time for me. I actually need to use ONNX at my job in the next days. Looking forward to your next videos Mr. Sreeni. tks again for sharing your knowledge
hi sir！ recently, i habe trying to convert some older trained models to the onnx format. but i have been getting different errors during different model conversions. for example: some model trained using pytorch ==0.6.0 or keras==2.1.5 (few year older versions). i am concluding that older version trained models cannot be converted to onnx, forcing me to train again now with newer version models. if any one else experienced this behaviour. do reply in this comment plz.
I would love to see Semantic segmentation of satellite imagery using U-net using Ensemble of networks (e.g., unet and Res-net ) - multiclass and binary
Hey Sreeni, I would love to see more on object tracking between different frames by using some advanced techniques with object detection. I tried tracy but it is not that effective.
Hello, I really appreciate your nice and efficient work and I really leant a lot from you videos thanks. I really need a Video on GI track segmentation which is the Kaggle competition. thanks in advance. please let me know how to donate in comment section.
Hi Digital Sreeni. How about an Android Application? can you make a video in advance on both (IOS and Android) Thank you for this video, I'm looking forward to the ONNX series of videos.
Hi sir ... Can you please upload a video about how to use metahuristic optimization algorithms for IMAGE CLASSIFICATION especially for medical imaging?
I am not familiar with that field, especially for image classification. All I know is that metahuristic algorithms can be used for optimization purposes, for example, tuning hyperparameters.
Great video! I am using ONNX on several projects and it has become part of my standard toolchain. It is amazing how just a few years ago even installing cuDNN was a chore and now we have a universal instruction set for ML models.
Thanks again Yujan. Using deep learning for various applications has become very easy, even for non-experts. I am glad Facebook, Google and Microsoft are open sourcing their code.
I am really grateful, you chose this topic.
I have one request , if you can make tutorial on using ONNX with cuda, It will be extremely helpful. Thanks !
¡Gracias!
Muchas gracias mi amigo!
Thank you very much Sir for your efforts. I am really grateful for your amazing guidance.
I would love to see more on CoreML. In any case, as always great videos! you are a master communicator!
Tks a looot for this upcoming series of videos. They´re right on time for me. I actually need to use ONNX at my job in the next days. Looking forward to your next videos Mr. Sreeni. tks again for sharing your knowledge
Great video
A multiclass semantic segmentation video with knowledge distillation training (Teacher-Student Network) would be very nice.
Please have you coverd before graph convolutional network?
Great Work, please make a video on Lung cancer image segmentation using LIDC-IDRI dataset (dicom images). Thanks
Forget iOS...can you show how onnx flow works on an S24?
awesome video!! learned a lot from here. btw Could you make video for autoencoder? A practical video on where and how to use it.
Multivariate time-series using transformers would be nice complement to your multivariate TS using LSTM video.
hi sir！ recently, i habe trying to convert some older trained models to the onnx format. but i have been getting different errors during different model conversions. for example: some model trained using pytorch ==0.6.0 or keras==2.1.5 (few year older versions). i am concluding that older version trained models cannot be converted to onnx, forcing me to train again now with newer version models. if any one else experienced this behaviour. do reply in this comment plz.
Hello, do you have a video that cover topic of generating pyramidal images? If not can you make one? I'm having huge trouble with this.
Hi Digital Sreeni. Can you maje a video on advanced image registration using DL such as Voxelmorph. Thank you
I would love to see Semantic segmentation of satellite imagery using U-net using Ensemble of networks (e.g., unet and Res-net ) - multiclass and binary
Hey Sreeni, I would love to see more on object tracking between different frames by using some advanced techniques with object detection. I tried tracy but it is not that effective.
Digital signal processing can you post some videos about it
Hi Sreeni, I would like to see you talk about JAX if you can
Hello, I really appreciate your nice and efficient work and I really leant a lot from you videos thanks. I really need a Video on GI track segmentation which is the Kaggle competition. thanks in advance. please let me know how to donate in comment section.
Hi Digital Sreeni.
How about an Android Application?
can you make a video in advance on both (IOS and Android)
Thank you for this video, I'm looking forward to the ONNX series of videos.
Hi sir ...
Can you please upload a video about how to use metahuristic optimization algorithms for IMAGE CLASSIFICATION especially for medical imaging?
I am not familiar with that field, especially for image classification. All I know is that metahuristic algorithms can be used for optimization purposes, for example, tuning hyperparameters.
@@DigitalSreeni Okay sir. Then please upload a video about hypertune the parameters by using image datasets sir 🙏
Thank you
Can you please make a vid how yo initialize .onnx
Can you make some videos on TinyML/Embedded Machine Learning?
Great
sir can i get ur email id , i have certain doubts in segmentation of aerial images videos it would be really helpful