Thanks for the content. The timing of this tutorial is impeccable. I'm currently implementing a similar approach to optimize an experiment that is both time-consuming and expensive to conduct. My understanding is that in real life, we need to conduct the experiment with the suggested values, then update the data. We then rerun the process and repeat this cycle until a cutoff point is reached. Am I correct in this context?
Excellent video. Please also upload Penalized least square with TV optimization problems for image reconstruction with methods like FISTA, ADMM . please
Hell Sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetune Yolov5 model for custome images classification.
Thankx for the video. Can you please upload how to use the surrogate optimization for antenna model.
8:41 Acquisition function
Sreeni ❤ Great video as always! Looking forward to more content from you.
can we apply this for cnn??
Excellent as always! I wonder if you could make a video on how to fine tune u-net. All the best!
Thanks for the content. The timing of this tutorial is impeccable. I'm currently implementing a similar approach to optimize an experiment that is both time-consuming and expensive to conduct. My understanding is that in real life, we need to conduct the experiment with the suggested values, then update the data. We then rerun the process and repeat this cycle until a cutoff point is reached. Am I correct in this context?
Excellent video. Please also upload Penalized least square with TV optimization problems for image reconstruction with methods like FISTA, ADMM . please
dear sir i m following all ur videos it helps me a lot pliz make video on transUNet and DATransUNet paper
Hell Sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetune Yolov5 model for custome images classification.
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