
culurciello.github.io
Eugenio Culurciello's blogMy views on tech; views that are ideas and comments and like code constantly change and evolve. These views are my own, but feel free to comment and improve them.
http://culurciello.github.io/
My views on tech; views that are ideas and comments and like code constantly change and evolve. These views are my own, but feel free to comment and improve them.
http://culurciello.github.io/
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Eugenio Culurciello's blog | culurciello.github.io Reviews
https://culurciello.github.io
My views on tech; views that are ideas and comments and like code constantly change and evolve. These views are my own, but feel free to comment and improve them.
Navigating the unsupervised learning landscape
https://culurciello.github.io/tech/2016/06/10/unsup.html
Navigating the unsupervised learning landscape. Jun 10, 2016. Note: updated on 2016-10-24. Unsupervised learning is the Holy Grail of Deep Learning. The goal of unsupervised learning is to create general systems that can be trained with little data. Very little data. Now, think about how you got trained when you were very little. Yes you got some supervision, but when your parents told you that is a cat they would not tell you cat every split second you were looking at a cat for the rest of your life!
Comparing image recognition engines
https://culurciello.github.io/tech/2015/05/17/image-rec.html
Comparing image recognition engines. May 17, 2015. Yesterday a Venture Beat article. Tested a few public image recognition engines on a popular large ImageNet. In order to provide consistent tests, they used images from the ImageNet categories. Only This is because many research and evaluation image recognition out there are trained on the ImageNet. Does not contain a lot of the categories of object we use and see in our everyday life, such as person , man , woman , hand , etc. Here is how Metamind.
Training ENet on ImageNet
https://culurciello.github.io/tech/2016/06/20/training-enet.html
Training ENet on ImageNet. Jun 20, 2016. Training a novel network on the ImageNet dataset. Can be tricky. Here are some guidelines to make your model train faster and help you design better models. For a more in-depth analysis and comparison of all the networks record-winners on ImageNet, please see our recent article. One representative figure from this article is here:. This work is based on the model in our recent paper ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.
Video summarization: why and how?
https://culurciello.github.io/tech/2016/07/09/video-comprehension.html
Video summarization: why and how? Jul 9, 2016. It has been a long time, but the dream is always the same: can I get my computer to watch a video and summarize it for me? The answer right now is: no. Video or story analysis requires to extract features at key-point frames . These features encode the meaning of the scene. Multiple scenes make up a temporal sequence of events, or action performed in the portion of video or story. Please note that frames are artificially created in a video by sampling at fix...
Neural Network Architectures
https://culurciello.github.io/tech/2016/06/04/nets.html
Jun 4, 2016. Note: updated on 2016-10-25. Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture. I wanted to revisit the history of neural network design in the last few years and in the context of Deep Learning. For a more in-depth analysis and comparison of all the networks reported here, please see our recent article. One representative figure from this article is here:. In 2010 Dan Claudiu C...
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culur.com - This website is for sale! - Art Resources and Information.
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Cultural Insider | Enjoy the world locally.
Enjoy the world locally. October 18, 2009. Posted by Rachel Bowen Pittman in International. I have created this blog to show individuals interested in different cultures how to enjoy the world locally. Welcome to Cultural Insider. This site will give you ideas on how to enjoy cultural experiences in your community. No passport is required. Enjoy! Create a free website or blog at WordPress.com.
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"Huge" words of wisdom
Huge" words of wisdom. Sunday, July 19, 2015. Will artificial intelligence take over the universe? Recently some branches of artificial intelligence (AI) have made tremendous progress on low-level cognitive abilities. In particular on low-level understanding of complex data, such as raw images, video streams, audio and voice streams. Some examples are:. Image and video understanding with neural networks [1]. Speech recognition with neural networks [2]. To create transcription of images [3]. Co-exist, rep...
Eugenio Culurciello's blog
Jul 9, 2016. Video summarization: why and how? Jun 20, 2016. Training ENet on ImageNet. Jun 10, 2016. Navigating the unsupervised learning landscape. Jun 8, 2016. How close are Deep Neural Networks to human abilities and performance? Jun 4, 2016. May 17, 2015. Comparing image recognition engines. My views on tech; views that are ideas and comments and like code constantly change and evolve. These views are my own, but feel free to comment and improve them.
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Too Many Cows - Index page
Website of the Too Many Cows Minecraft server. Last visit was: Fri Aug 07, 2015 7:59 am. It is currently Fri Aug 07, 2015 7:59 am. This board has no forums. In total there are 4. Users online : 3 registered, 0 hidden and 1 guest (based on users active over the past 5 minutes). Most users ever online was 24. On Wed Aug 05, 2015 9:21 am. Bull; Total topics 4341. Bull; Total members 88. Bull; Our newest member Antoniomt. Forum Software phpBB Limited.
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