- Machine Learning, Programming Courses for FREE from Coursera. Due to COVID-19, Coursera has made free some of their Courses and you can earn a Certificate for FREE until 12/31/20(Offer is subject to change).
- Foundation of mathematical logic in a nutshell
- If context switching was random in an Operating System, would that decrease or increase the efficiency of that operating system? And, why?
- Build a Real-Time Face Detecting Web App using Javascript and Face-api.js!!!
- Is there a name for the things a language needs on top of being 'Turing complete' to be practical?
- Reference(s) for Byzantine fault tolerance?
- [R] Using Deep RL to Model Human Locomotion Control in Neuromechanical Simulations
- ICYMI from Nvidia and UWaterloo researchers: Latest in synthesizing scenes for graphics, gaming, and to create (labeled) synthetic datasets for ML
- Instruction costs resource
- Using Craig Reynolds' Steering Behaviors: Two Bots Fighiting Against Each Other In 3D Space
| Posted: 22 Aug 2020 12:51 AM PDT Time has been extended by Coursera and offer is valid until 12/31/20, while supplies last. You just need to complete the course during this period. Main Article Share it with everyone! Everyone needs to know. Tell others who can't afford.
Happy Learning! [link] [comments]  |
| Foundation of mathematical logic in a nutshell Posted: 21 Aug 2020 09:27 AM PDT |
| Posted: 22 Aug 2020 01:42 AM PDT https://science.jrank.org/computer-science/Multitasking_Operating_Systems.html This says that random context switching will decrease the efficiency. CPU efficiency= useful time/(useful+useless time) useless time=time spent in switching/overhead. [link] [comments]  |
| Build a Real-Time Face Detecting Web App using Javascript and Face-api.js!!! Posted: 22 Aug 2020 01:24 AM PDT You can read the complete step by step tutorial here on my blog - thecodingpie.com The finished version can do something like this!!! In this tutorial, you will build a Real-Time Face Detection Javascript Web App that can access your webcam and identifies your facial expressions, face landmarks, and much much more inside the browser!!! I tried my best to make this tutorial fun and friendly. So fear not! If you got stuck, I am always here to help you :) As always, any feedback is accepted... [link] [comments]  |
| Is there a name for the things a language needs on top of being 'Turing complete' to be practical? Posted: 21 Aug 2020 12:02 PM PDT Any language that is Turing complete can perform every possible (computable) calculation. Most general-purpose programming languages are Turing complete. However, they usually have a lot of other things as well, to be useful for 'general-purpose' work, like reading/writing files, interacting with the keyboard and/or mouse, drawing to screen, interacting with other computers over a wire, etc. Many of these things are provided by a Kernel (or other parts of the Operating System), and implemented differently under the hood depending on the architecture the language runs on. Is if there is a name for the extra set of (common) capabilities that languages used in practice have, on top of being 'Turing complete'. Thank you! :-) [link] [comments]  |
| Reference(s) for Byzantine fault tolerance? Posted: 22 Aug 2020 04:26 AM PDT I am starting my work in Byzantine fault tolerant algorithms and their randomized solutions. Is there a current reference such as a textbook or lecture notes which covers the topic with sufficient emphasis on randomization? Thanks! [link] [comments]  |
| [R] Using Deep RL to Model Human Locomotion Control in Neuromechanical Simulations Posted: 21 Aug 2020 02:04 PM PDT In the new paper Deep Reinforcement Learning for Modeling Human Locomotion Control in Neuromechanical Simulation, researchers from Stanford University, UC Berkeley and CMU review neuromechanical simulations and DRL, with a focus on modelling the control of human locomotion. Many biomechanics and motor control researchers have studied motor control models using neuromechanical simulations, which enable physically correct motions in a musculoskeletal model for the purpose of analyzing the observed human motions. However, the team notes that DRL has rarely been applied in neuromechanical simulations to model human locomotion control, suggesting this has hindered the development of accurate motion prediction models. Here is a quick read: Using Deep RL to Model Human Locomotion Control in Neuromechanical Simulations [link] [comments]  |
| Posted: 21 Aug 2020 09:53 PM PDT |
| Posted: 21 Aug 2020 11:57 AM PDT So I know one may argue that perhaps you shouldn't worry about this because it is practically negligible, but in my circumstances this is not the case. I am dealing with images and video at the moment so millions of operations. I want to use the fastest instructions I can to cut costs wherever possible since time is of the essence. I know some instructions are faster than others--some are very obviously so e.g. shift right versus integer divide by two. But other times, it is not so clear (using shift and addition versus using divide, for example). Are there any resources that specify these things, or do you just have to test it out yourself. I was just wondering. [link] [comments]  |
| Using Craig Reynolds' Steering Behaviors: Two Bots Fighiting Against Each Other In 3D Space Posted: 21 Aug 2020 06:55 AM PDT |
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