The Helmholtz machine (named after Hermann von Helmholtz and his concept of Helmholtz free energy) is a type of artificial neural network that can account for the hidden structure of a set of data by being trained to create a generative model of the original set of data. The hope is that by learning economical representations of the data, the underlying structure of the generative model should reasonably approximate the hidden structure of the data set. A Helmholtz machine contains two networks, a bottom-up recognition network that takes the data as input and produces a distribution over hidden variables, and a top-down "generative" network that generates values of the hidden variables and the data itself. At the time, Helmholtz machines were one of a handful of learning architectures that used feedback as well as feedforward to ensure quality of learned models. Helmholtz machines are usually trained using an unsupervised learning algorithm, such as the wake-sleep algorithm. They are a precursor to variational autoencoders, which are instead trained using backpropagation. Helmholtz machines may also be used in applications requiring a supervised learning algorithm (e.g. character recognition, or position-invariant recognition of an object within a field). (Wikipedia).
The Mandelbrot set is a churning machine
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Stirring the Mandelbrot Set: a checkerboard
http://code.google.com/p/mandelstir/
From playlist mandelstir
Lecture 12A : The Boltzmann Machine learning algorithm
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From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Physics 23.5 (Chemistry) Thermodynamic Potentials (4 of TBD) What is Helmholtz Free Energy?
Visit http://ilectureonline.com for more math and science lectures! http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn about the 3rd of the 4 thermodynamic potentials: the Helmholtz free energy is F=U-TS or A=U-TS. Previous video in this ser
From playlist CHEMISTRY 9.5 THERMODYNAMICS POTENTIALS
Simple Machines (4 of 7) Pulleys; Calculating the Amount of Work Done
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the ljungstroms radial steam turbine
Here is an animation of Ljungstroms steam turbine
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From playlist MIT 6.801 Machine Vision, Fall 2020
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21st Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, April 14, 2021, 10:00am Eastern Time Zone (US & Canada) Speaker: Fioralba Cakoni, Rutgers University Title: On some old and new spectral problems in inverse scattering theory Abstract: Scattering poles, non-scattering frequencies and transmission eigenvalues are intrins
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Open questions in turbulent stratified mixing:Do we even know what we do not know? by C.P. Caulfield
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20 AWESOME Electromagnetic induction in laboratory!!!
This videos shoe and describes about the Electromagnetic Induction, Faraday's observation.It also describes about the magnitude and direction of induced e.m.f, Faraday’s Laws of Electromagnetic Induction and the Lenz’s Law.
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Kelvin-Helmholtz Instability - Sixty Symbols
Additional video on how the experiment works at: https://youtu.be/mf_143gkKSQ More links and info below ↓ ↓ ↓ This video features Professor Mike Merrifield from the University of Nottingham. Stripey Clouds: https://youtu.be/rOdRbUQzajo Cloud video on Objectivity: https://youtu.be/C6Fws5
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Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection
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 This lecture discusses the photometric stereo problem, estimating motion graphica
From playlist MIT 6.801 Machine Vision, Fall 2020
Live CEOing Ep 362: PDE Modeling in Wolfram Language
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Statistical Mechanics (Tutorial) by Chandan Dasgupta
Statistical Physics Methods in Machine Learning DATE: 26 December 2017 to 30 December 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the "t
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Helmholtz Resonator - Think you know how helmholtz resonators work?
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Simple Machines (1 of 7) Pulleys; Defining Forces, Distances and MA
For the pulley simple machine this video defines the terms input and output force, input and output distance and mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mechanis
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