Backward chaining

Chain drive 1E

A chain drive that can itself reverse motion direction of the chain. On the sketch: the orange sprocket is driving, the two large chain wheels are driven. The animation shows the driving sprocket and chain behavior at reverse time: from the left-to-right motion of the chain to the right-t

From playlist Mechanisms

Belt drive 4a

Reversing rotation transmission between two coaxial shafts. Rotation transmission between two skew shafts (skew angle is 90 deg.). Rotary directions of two coaxial shafts are opposite. It uses rope belts only. STEP files of this video: https://www.mediafire.com/file/4xnpzagqthu53yy/BeltD

From playlist Mechanisms

Chain drive 2E

Converting continuous rotation into reciprocating translation with dwells at both ends of the course. Two sprockets are identical. The course length is equal to sprocket pitch diameter. The dwell time depends on the axle distance of two sprockets. STEP files of this video: http://www.medi

From playlist Mechanisms

Backward & Forward Chaining

This is a brief description of the different kinds of logic that may be used in determining the solution to a problem. I'm Mr. Woo and my channel is all about learning - I love doing it, and I love helping others to do it too. I guess that's why I became a teacher! I hope you get somethin

From playlist Decision Support Systems

Reverse Chain Rule (3 of 3: By explicit substitution)

More resources available at www.misterwootube.com

From playlist Integral Calculus

This is How You Use the Chain Rule in Calculus

This is How You Use the Chain Rule in Calculus

From playlist Random calculus problems:)

Around The Corner - How Differential Steering Works (1937)

How the automobile differential allows a vehicle to turn a corner while keeping the wheels from skidding. Differential steering From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Differential_steering Differential steering is the means of steering a land vehicle by apply

From playlist Robotics

Belt drive 2

Used with shafts at right angle rotating in one definite direction. In order to prevent the belt from leaving the pulleys the latter should be sufficiently wide and fixed and secured finally only after a trial run. STEP files of this video: http://www.mediafire.com/file/deesq8p6foeqiy1/B

From playlist Mechanisms

Belt drive 8

Rotation transmission between parallel shafts, one can move. The key factor is: 4 belt branches connecting to the green and blue pulleys must be parallel. It uses rope and flat belts, not V-belts. Inventor files of this video: http://www.mediafire.com/file/92mo39k7kqkgzde/BeltDrive8Inv.z

From playlist Mechanisms

Mega-R1. Rule-Based Systems

MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Mark Seifter In this mega-recitation, we cover Problem 1 from Quiz 1, Fall 2009. We begin with the rules and assertions, then spend most of our time on backward chaining and dra

From playlist MIT 6.034 Artificial Intelligence, Fall 2010

Markov processes and applications-5 by Hugo Touchette

PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online

From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021

The spelled-out intro to neural networks and backpropagation: building micrograd

This is the most step-by-step spelled-out explanation of backpropagation and training of neural networks. It only assumes basic knowledge of Python and a vague recollection of calculus from high school. Links: - micrograd on github: https://github.com/karpathy/micrograd - jupyter notebook

From playlist Neural Networks: Zero to Hero

18. Countable-state Markov Chains and Processes

MIT 6.262 Discrete Stochastic Processes, Spring 2011 View the complete course: http://ocw.mit.edu/6-262S11 Instructor: Robert Gallager License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.262 Discrete Stochastic Processes, Spring 2011

CS231n Lecture 4 - Backpropagation, Neural Networks

Backpropagation Introduction to neural networks

From playlist CS231N - Convolutional Neural Networks

Neural Networks 6 Computation Graphs and Backward Differentiation

From playlist Week 5: Neural Networks

PyTorch Tutorial 04 - Backpropagation - Theory With Example

New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part I will explain the famous backpropagation algorithm.

From playlist PyTorch Tutorials - Complete Beginner Course

Lecture 4 | Introduction to Neural Networks

In Lecture 4 we progress from linear classifiers to fully-connected neural networks. We introduce the backpropagation algorithm for computing gradients and briefly discuss connections between artificial neural networks and biological neural networks. Keywords: Neural networks, computation

From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)

Henrik Hult: Power-laws and weak convergence of the Kingman coalescent

The Kingman coalescent is a fundamental process in population genetics modelling the ancestry of a sample of individuals backwards in time. In this paper, weak convergence is proved for a sequence of Markov chains consisting of two components related to the Kingman coalescent, under a pare

From playlist Probability and Statistics

12/14/18 Mirco Tribastone

Maximal aggregation of polynomial differential equations

From playlist Fall 2018 Kolchin Seminar

Cipher Block Chaining Mode - Applied Cryptography

This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.

From playlist Applied Cryptography