I really appreciate your diligence and explanation for each topic in detail. I have learnt many things from your videos and waiting enthusiastically for the new videos every week. Thanks a million.
Thanks a lot for this video. Awesome content. I implemented the global averaging pool and tried to convert the model to ONNX. When I try to read from openCV DNN I get an error due to the GAP. Is there anything in particular I must include in the model to use this with opencv DNN? The error message is related to a squeeze layer automatically created after GAP
Wonderful Sir, Respect. Thanks for explaining every details for the beginners like me. One question: Why do GAP is working as a replacement for flattening
thank you again for Keras tutorials, can you please make a video on domain adaptation using adversarial training, where we need to add segmentation loss and adv discriminator loss. I tried to implement like your srgan tutorial using the combined model and assigning weights, but the results are not as expected. thank you
Hello Sir, wonderful channel. Can you make an excption and put the next video before next week :) Another point, since we are trying to connect all together, it can be good to make the next video as extension of last week video for Anomaly Detection using the same model we trained last week. Thanks
I am not sure if I can make such tutorials in the next couple of months. As you can see, each video is like a mini project that involves data gathering, annotations (if custom data), training, and then coming up with training script. Since I do not have any base mask-RCNN code that I worked with as part of my videos, it takes a lot of effort to create such a video. I am hoping to get into it some day but I do not see it happening in the near future. Thanks for the suggestion though, it helps in prioritizing my work.
I really appreciate your diligence and explanation for each topic in detail. I have learnt many things from your videos and waiting enthusiastically for the new videos every week. Thanks a million.
You are very welcome
@@DigitalSreeni Hi, thankyou for explanation. But where can I find the images, it's not in github
Thanks
Thank you very much for your kind contribution.
Wonderful content 💯
Can you explain further, 'global average pooling'?
I really enjoy watching your videos 👌
Glad you like them!
Thanks a lot for this video. Awesome content. I implemented the global averaging pool and tried to convert the model to ONNX. When I try to read from openCV DNN I get an error due to the GAP. Is there anything in particular I must include in the model to use this with opencv DNN? The error message is related to a squeeze layer automatically created after GAP
Wonderful Sir, Respect. Thanks for explaining every details for the beginners like me. One question: Why do GAP is working as a replacement for flattening
Looks like you are asking about the applications of GAP. Stay tuned for the next couple of videos :)
Great video sir, thank you
thank you again for Keras tutorials,
can you please make a video on domain adaptation using adversarial training, where we need to add segmentation loss and adv discriminator loss. I tried to implement like your srgan tutorial using the combined model and assigning weights, but the results are not as expected.
thank you
Hello Sir, wonderful channel. Can you make an excption and put the next video before next week :) Another point, since we are trying to connect all together, it can be good to make the next video as extension of last week video for Anomaly Detection using the same model we trained last week. Thanks
Hi Sir, what book or lecture videos will u recommend to master ML and DL for someone coming from biology background?
thank you! very nice class!
Good video but Respected Sir, I am still waiting for Mitosis detection video using Mask R-CNN. Hope this time you will make the video for me.!!
I am not sure if I can make such tutorials in the next couple of months. As you can see, each video is like a mini project that involves data gathering, annotations (if custom data), training, and then coming up with training script. Since I do not have any base mask-RCNN code that I worked with as part of my videos, it takes a lot of effort to create such a video. I am hoping to get into it some day but I do not see it happening in the near future. Thanks for the suggestion though, it helps in prioritizing my work.
@@DigitalSreeni ok sir, no problem, hope in near future you will make a video on Mask R-CNN.
Very useful, thanks a lot :)
You are welcome.
thank you Again
Thank you too!
hi thanks for this video.
You're welcome
LOL 15 minutes for concept such easy like this 😂