autonomyincubator.blogspot.com
Autonomy Incubator: 2016-06-28: Autonomy Incubator Intern Deegan Atha Teaches Machines to See
http://autonomyincubator.blogspot.com/2016/06/2016-06-28-autonomy-incubator-intern.html
Tuesday, June 28, 2016. 2016-06-28: Autonomy Incubator Intern Deegan Atha Teaches Machines to See. Intern Deegan Atha carefully lines up a ficus and a quadrotor in front of the webcam mounted to one of the widescreen monitors in the flight range. If you've followed the Autonomy Incubator (Ai) for any length of time, you know that we do a lot. Of research with computer vision and augmented reality. Deegan is back at the Ai this summer, answering these very questions. We began this month’s showcase b...
srippa.wordpress.com
Learning materials | Bits and pieces
https://srippa.wordpress.com/2016/02/26/courses
A collection of items that interest me. February 26, 2016. July 1, 2016. CS109 Data Science (Harward). CS231n: Convolutional Neural Networks for Visual Recognition (Stanford. Notes, slides and videos. Neural networks class – Université de Sherbrooke. ML: 2014-2015 – Oxford. 8211; video lectures by Yann Lecun. Neural Networks for Machine Learning. Coursera course by Geoffrey Hinton’s. 8211; Complete set of videos for a course taught by Nando de Freitas at Oxford in early 2015. Deep learning at NYU (2014).
srippa.wordpress.com
July | 2015 | Bits and pieces
https://srippa.wordpress.com/2015/07
A collection of items that interest me. July 24, 2015. May 6, 2016. Getting started with Deep learning. Structures list of videos, tutorials, courses on AI, cognitive computing and deep learning. Another link to various AI related resources. Tutorials and best data scientists to follow (2015). List of best blogs to follow (2015). Deep learning tutorial from Stanford. Deep learning in a nutshell:. Nandos de Freitas: YouTube video series. Deep learning summer school 2015. ML class 10-701 (2015). List of Py...
srippa.wordpress.com
November | 2015 | Bits and pieces
https://srippa.wordpress.com/2015/11
A collection of items that interest me. November 21, 2015. May 20, 2016. Neural networks and backpropagation (2012). 8211; Good post with full mathematical derivation and accompanied GitHub repository. Python code for NN. 8211; latest AI code. How I learned to code Neural Network. 8211; a good post with lots of references to resources for learning NN and another reference to the author’s data-sets site. View Welch labs on Youtube. And week 4 of Andrew Ng course. A step-by-step BP example. I am trask blog.
fouryears.eu
Four Years Remaining » Blog Archive » Face Recognition
http://fouryears.eu/2015/06/18/face-recognition
The developments of proper. Of neural network training methods in the recent years have lead to a steady growth of exciting. Of their potential. Among others, the topic of face recognition. Not to be confused with face detection. Is on the steady rise. Some 5 years ago or so, decent face recognition tools were limited to Google Picasa and Facebook, some research labs and a few commercial. Often branded with the word "Biometrics" (that somehow seems to grow out of fashion nowadays). Seemed to have caught ...
rt.dgyblog.com
Random Thoughts : Learning Deep Learning
http://rt.dgyblog.com/ref/ref-learning-deep-learning.html
A wiki of my random thoughts. Multi Layer Perceptron Layers. A Story of My OS. There are lots of awesome reading lists or posts that summarized materials related to Deep Learning. So why would I commit another one? By Erik Demaine and Srinivas Devadas. By Arthur Mattuck, Haynes Miller, Jeremy Orloff, John Lewis. Theory of Computation, Learning Theory, Neuroscience, etc. Introduction to the Theory of Computation. Artificial Intelligence: A Modern Approach. By Stuart Russell and Peter Norvig. By Richard S&...
ujjwalkarn.me
An Intuitive Explanation of Convolutional Neural Networks – the data science blog
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets
The data science blog. Machine learning, deep learning, nlp, data science. The Data Science Blog. An Intuitive Explanation of Convolutional Neural Networks. August 11, 2016. August 28, 2016. What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks ( ConvNets. Figure 1: Source [ 1. Above, a ConvNet is able to recognize scenes and the system is able to suggest relevant tags such as ‘bridge’, ‘railway’ and ‘tennis’ while Figure 2. Figure 2: Source [ 2. To get an idea ...
autonomyincubator.blogspot.com
Autonomy Incubator: June 2016
http://autonomyincubator.blogspot.com/2016_06_01_archive.html
Thursday, June 30, 2016. 2016-06-29: Autonomy Incubator Develops Collision Detection Capabilities. Javier updates fellow intern Kastan Day on his research. This is intern Javier Puig Navarro. S third summer at the Autonomy Incubator (Ai), and he's wasted no time in churning out his typical extraordinary, innovative avionics research. When he pulled me aside to show me his work after lunch today, I was expecting to be amazed as usual, but something about today seemed different. It's the way he does it tha...
qianjiye.de
CS231n（1）：计算机视觉简介
http://qianjiye.de/2016/02/cs231n_introduction-to-computer-vision
这个CNN系列，主要内容是斯坦福大学 CS231n: Convolutional Neural Networks for Visual Recognition. 1959年，Hubel and Wiesel， [1]. 1963年，Larry Roberts，Block world [2]. 1966年，The Summer Vision Project. 1970s，David Marr， Vision ，Stages of Visual Representation [3]. 1973年，Fischler and Elschlager，Pictorial Structure [4]. 1979年，Brooks and Binford，Generalized Cylinder [5]. 1997年，Shi and Malik，Normalized Cut [7]. 1999年，David Lowe，SIFT and Object Recognition [8]. 2001年，Viola and Jones，Face Detection [9]. The MIT Press, 2010. 4]M A F...
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