Oja's learning rule, or simply Oja's rule, named after Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the standard Hebb's Rule (see Hebbian learning) that, through multiplicative normalization, solves all stability problems and generates an algorithm for principal components analysis. This is a computational form of an effect which is believed to happen in biological neurons. (Wikipedia).
How to use the division rules of exponents to simplify
👉 Learn how to simplify expressions using the quotient rule of exponents. The quotient rule of exponents states that the quotient of powers with a common base is equivalent to the power with the common base and an exponent which is the difference of the exponents of the term in the numerat
From playlist Simplify Using the Rules of Exponents | Quotient Rule
How to use the division property of exponents to simplify
👉 Learn how to simplify expressions using the quotient rule of exponents. The quotient rule of exponents states that the quotient of powers with a common base is equivalent to the power with the common base and an exponent which is the difference of the exponents of the term in the numerat
From playlist Simplify Using the Rules of Exponents | Quotient Rule
Calculus: The Substitution Rule
This is the first of two videos covering material from Briggs/Cochran Calculus, Section 5.5: The Substitution Rule. In this video, I talk about the basic idea behind the substitution rule and work through some simple examples.
From playlist Calculus
Chains f(g(x)) and the Chain Rule
Chains f(g(x)) and the Chain Rule Instructor: Gilbert Strang http://ocw.mit.edu/highlights-of-calculus License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist Highlights of Calculus
OWASP AppSec USA 2010: OWASP Secure Coding Practices Quick Reference Guide 1/2
Speaker: Keith Turpin, Boeing More information can be found on the OWASP website: http://bit.ly/hY4bqh Source: http://bit.ly/owasp_appsec_us_2010
From playlist OWASP AppSec USA 2010
The Product Rule of Differentiation (Introduction)
This video is a new version of the introductory video to the product rule of differentiation. Site: http://mathispower4u.com Search: http://mathispower4u.wordpress.com
From playlist Differentiation Using the Product Rule
👉 Learn how to simplify expressions using the quotient rule of exponents. The quotient rule of exponents states that the quotient of powers with a common base is equivalent to the power with the common base and an exponent which is the difference of the exponents of the term in the numerat
From playlist Simplify Using the Rules of Exponents | Quotient Rule
The rise and fall of the Assyrian Empire - Marian H Feldman
Check out our Patreon page: https://www.patreon.com/teded View full lesson: https://ed.ted.com/lessons/the-rise-and-fall-of-the-assyrian-empire-marian-h-feldman Before the sun never set on the British Empire; before Genghis Khan swept the steppe; before Rome extended its influence to enc
From playlist New TED-Ed Originals
History vs. Henry VIII - Mark Robinson and Alex Gendler
Check out our Patreon page: https://www.patreon.com/teded View full lesson: https://ed.ted.com/lessons/history-vs-henry-viii-mark-robinson-and-alex-gendler He was a powerful king whose break with the church of Rome would forever change the course of English history. But was he a charisma
From playlist History vs.
F for Fake (1973) - How to Structure a Video Essay
If you want to make video essays, there’s no better film to study than Orson Welles’ 1973 masterpiece, F for Fake. There are a million lessons to take away from it, but today, let’s see what it has to teach us about structure. NO SPOILERS. For educational purposes only. You can donate to
From playlist Essential viewing
The Loss Landscape of Deep Neural Networks by Shankar Krishnan
DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr
From playlist The Theoretical Basis of Machine Learning 2018 (ML)
Nina Burmi | Mishra Bhairavi Thumri | Indian Classical Music
#darbarfestival JOIN US LIVE for Darbar Festival at the Barbican Centre, London | 13-16 October 2022 Did you enjoy this video? You will absolutely love the experience of watching 20 world-class artists come together to perform 20 events over 4 days. You will have the chance to listen t
From playlist Hindustani Music
What is dust made of? - Michael Marder
Check out our Patreon page: https://www.patreon.com/teded View full lesson: https://ed.ted.com/lessons/what-is-dust-made-of-michael-marder Less than a tenth the size of an ant, a dust mite’s whole world is contained in the dusty film under a bed or in a forgotten corner. This realm is ri
From playlist New TED-Ed Originals
The dangerous race for the South Pole - Elizabeth Leane
Check out our Patreon page: https://www.patreon.com/teded View full lesson: https://ed.ted.com/lessons/the-dangerous-and-daring-race-for-the-south-pole-elizabeth-leane By the early 1900’s, nearly every region of the globe had been visited and mapped, with only two key locations left: the
From playlist New TED-Ed Originals
Why does your voice change as you get older? - Shaylin A. Schundler
Learn more about TED's student voice initiative here: http://bit.ly/2ODTRIq View full lesson: https://ed.ted.com/lessons/why-does-your-voice-change-as-you-get-older-shaylin-a-schundler The human voice is capable of incredible variety and range. As we age, our bodies undergo two major cha
From playlist New TED-Ed Originals
The surprising reason our muscles get tired - Christian Moro
Why do our muscles get tired and sore after exercise? Explore how our muscles function, and how you can exercise longer without experiencing muscle fatigue. -- You're lifting weights. The first time feels easy, but each lift takes more and more effort until you can’t continue. Inside you
From playlist New TED-Ed Originals