manneshiva

10 ms·

1.
by manneshiva 7y ago
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.
2.
In-Browser Deep Learning: Object Detection Using Tensorflow.js(nanonets.com)
8 points by manneshiva 7y ago|1 comments
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by manneshiva 7y ago
Interesting, wonder what their use case was?
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by manneshiva 7y ago
How fast are the algorithms? does anyone of them work in real time?
5.
Google launches Jetpack Compose, open source Kotlin-based UI development toolkit(techcrunch.com)
3 points by manneshiva 7y ago|0 comments
6.
by manneshiva 7y ago
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 astounding. There is no doubt it is going to be one of the top cou
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AI in China(youtube.com)
1 points by manneshiva 7y ago|1 comments
8.
by manneshiva 7y ago
I have seen similar results using Gunner Farneback's algorithm.
9.
by manneshiva 7y ago
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 like bounding box size, 3d information, and pose. Versatile
10.
Object detection and pose estimation using Center Point Detection(github.com)
2 points by manneshiva 7y ago|1 comments
11.
Samsung states that broken Galaxy Folds are due to user error(techcrunch.com)
13 points by manneshiva 7y ago|14 comments
12.
by manneshiva 7y ago
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-online-systems-u...
13.
by manneshiva 7y ago
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 optimization (based on Gaussian process), have a l
14.
by manneshiva 7y ago
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 will probably end up only tuning a few of them that you thin
15.
Backlinks by Neil Patel(neilpatel.com)
1 points by manneshiva 7y ago|0 comments
16.
Adapting to Windows as a Linux Developer(medium.com)
1 points by manneshiva 7y ago|1 comments
17.
by manneshiva 7y ago
It just amazes me how the attention to detail in a video game could help reconstruct a medieval Catholic cathedral!
18.
Assassin’s Creed Could Save Notre Dame(stuff.tv)
1 points by manneshiva 7y ago|1 comments
19.
by manneshiva 7y ago
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 hyperparameter search and has all the code you need to tr
20.
How to Make Deep Learning Models That Don’t Suck(blog.nanonets.com)
1 points by manneshiva 7y ago|1 comments
21.
by manneshiva 8y ago
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 AI-powered visual inspection is the future of manu
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Everything You Need to Know about Automating Visual Inspection with AI(blog.nanonets.com)
1 points by manneshiva 8y ago|1 comments
23.
by manneshiva 8y ago
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 hyperparameter search and has all the code you need to try
24.
How to Make Deep Learning Models That Don’t Suck(blog.nanonets.com)
4 points by manneshiva 8y ago|2 comments
25.
by manneshiva 8y ago
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 NLP tasks like NER? Did you get a chance to try on any other
26.
by manneshiva 8y ago
My 2 favorites are 1. BERT - easy to understand, SOTA results on most NLP tasks, code and pretrained models readily available. What more can you ask! 2. ULMFit - transfer learning for NLP, have been waiting for something like this since a l
27.
by manneshiva 8y ago
Here are a few more who have tried it or use deep learning for SAR: https://www.planckaero.com/maritimedrone/ https://flytbase.com/flytstories/search-and-rescue-drone/ https://news
28.
by manneshiva 8y ago
just curious, how do you intend to use this? I mean, what problem does exploring each layer in a Docker solve for you?