Viewing profile — manneshiva
manneshiva
HN member- Joined
- Sun, Nov 25, 2018, 4:44 PM UTC
- HN karma
- 19
- Public activity
- 28 items
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About manneshiva
Recent public activity
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Comment #20694733
This is a step-by-step tutorial on how to use tensorflow.js to run an object detection web application for your webcam feed in real-time. The model used is COCO-SSD-mobilenet_v2.
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Comment #19863593
Interesting, wonder what their use case was?
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Comment #19862626
How fast are the algorithms? does anyone of them work in real time?
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Comment #19833665
A news agency in China uses an AI news anchor. The speed at which China seems to be adopting and implementing the latest deep learning technology into everyday life is truly astoun…
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Comment #19785629
I have seen similar results using Gunner Farneback's algorithm.
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Comment #19745711
Highlights of this technique: Simple: One-sentence method summary: use keypoint detection technic to detect the bounding box center point and regress to all other object properties…
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Comment #19690370
Even Facebook uses Bayesian Optimization for tuning the parameters of some of its online systems (like its internal ranking system): https://research.fb.com/efficient-tuning-of-onl…
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Comment #19690335
Sure, it does, it's not trivial though. Tedious to implement it yourself. You could use python libraries as "scikit-optimize" which has an implementation of parallel Bayesian optim…
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Comment #19689955
Manually searching is time taking since you need to wait for the results from each experiment. This becomes impossible when the number of hyperparameters is more than 8-10 and you …
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Comment #19676715
It just amazes me how the attention to detail in a video game could help reconstruct a medieval Catholic cathedral!
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Comment #19627328
Training deep learning models can be tough. They don't work without the right hyperparameters. This interactive blog gives an explanation of the algorithms that can automate the hy…
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Comment #19607002
If you've been conducting manual quality checks at your manufacturing company, you've probably been over-paying for low productivity and poor quality output. The link explains why …
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Comment #19503356
Training deep learning models can be tough. They don't work without the right hyperparameters. The interactive blog gives an explanation of the algorithms that can automate the hyp…
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Comment #18639810
Sure, all the papers are one of the best in their respective fields, no doubt about that. Regarding your paper, do you think similar fine timing techniques can be applied to other …