What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn
🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech
From playlist #Shorts | #Simplilearn
Computer Basics: What Is a Computer?
Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0
From playlist Starting out with Technology
Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------
From playlist Computer Science
Unix for Programmers - My Computer Science Degree in the Real World
I took a unix for programmers in college while pursuing my computer science degree. Today as a software engineer, I want to see what was carried over from that classroom to the real world of software development. ---------------------------------------------------------- I share and docu
From playlist Computer Science
THE FIGURE: Head Drawing Long Pose
Marc takes you through another long pose (male) of the head and neck showing and discussing the drawing techniques and the subsequent corrections he makes, as well as the pitfalls or limitations of a less than ideal drawing set up (sometimes you'll have to have an awkward set up).
From playlist THE FIGURE
Quantum Computer in a Nutshell (Documentary)
The reservoir of possibilities offered by the fundamental laws of Nature, is the key point in the development of science and technology. Quantum computing is the next step on the road to broaden our perspective from which we currently look at the Universe. The movie shows the history of pr
From playlist Quantum computing
Machine Learning for Cyber Security - Session 10
QA Distribution changes in time Predictable behaviour Model normal data Negative sampling and categorical variables Training with high probability samples Onehot encoding XGBoost: good, robust, explainable Domain name and malicious url attacks Hands-on Data walkthrough Utility functions
From playlist Machine Learning for Cyber Security
What Is A CDN? How Does It Work?
To get better at system design, subscribe to our weekly newsletter: https://bit.ly/3tfAlYD Checkout our bestselling System Design Interview books: Volume 1: https://amzn.to/3Ou7gkd Volume 2: https://amzn.to/3HqGozy Proxy vs Reverse Proxy: https://www.youtube.com/watch?v=4NB0NDtOwIQ ABO
From playlist Computer Science Fundamentals
Lecture 16B : Hierarchical coordinate frames
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 16B : Hierarchical coordinate frames
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Lecture 16.2 — Hierarchical Coordinate Frames [Neural Networks for Machine Learning]
Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. Link to the course (login required): https://class.coursera.org/neuralnets-2012-001
From playlist [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton
Geoffrey Hinton talk "What is wrong with convolutional neural nets ?"
Brain & Cognitive Sciences - Fall Colloquium Series Recorded December 4, 2014 Talk given at MIT. Geoffrey Hinton talks about his capsules project. Talks about the papers found here: https://arxiv.org/abs/1710.09829 and here: https://openreview.net/pdf?id=HJWLfGWRb
From playlist AI talks
Geoffrey Hinton: "Does the Brain do Inverse Graphics?"
Graduate Summer School 2012: Deep Learning, Feature Learning "Does the Brain do Inverse Graphics?" Geoffrey Hinton, University of Toronto Institute for Pure and Applied Mathematics, UCLA July 12, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summe
From playlist GSS2012: Deep Learning, Feature Learning
Lecture 16/16 : Recent applications of deep neural nets
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 16A Learning a joint model of images and captions 16B Hierarchical coordinate frames 16C Bayesian optimization of neural network hyperparameters 16D The fog of progress
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Graham Taylor: "Feature Learning for Comparing Examples"
Graduate Summer School 2012: Deep Learning, Feature Learning "Feature Learning for Comparing Examples" Graham Taylor, University of Guelph Institute for Pure and Applied Mathematics, UCLA July 13, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summ
From playlist GSS2012: Deep Learning, Feature Learning
Introduction to Runway: Machine Learning for Creators (Part 2)
This video looks at how to run the PoseNet Machine Learning model (for real-time skeletal tracking of one or more people) in Runway and send the results to Processing (Java). This is Part 2 so for na introduction to Runway and how to install it, make sure to check out Part 1. RunwayML Par
From playlist Runway: Machine Learning for Creators
Math meets artistry | Animation | Computer animation | Khan Academy
Watch the next lesson: https://www.khanacademy.org/partner-content/pixar/animate/ball/v/animation-1a?utm_source=YT&utm_medium=Desc&utm_campaign=computeranimation Missed the previous lesson? https://www.khanacademy.org/partner-content/pixar/pixar-rigging/code-character/v/rigging8new?utm_so
From playlist Animation | Computer Animation | Khan Academy
Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539)
MIT 6.801 Machine Vision, Fall 2020 Instructor: Berthold Horn View the complete course: https://ocw.mit.edu/6-801F20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O In this lecture, we look at general problems for object detection and pose estima
From playlist MIT 6.801 Machine Vision, Fall 2020
position:fixed juddering (real device)
Mirroring my phone to computer to record, you can see the same position:fixed juddering occurs in iOS 5.1.1
From playlist position:fixed