Backpropagation through structure (BPTS) is a gradient-based technique for training recursive neural nets (a superset of recurrent neural nets) and is extensively described in a 1996 paper written by Christoph Goller and Andreas Kรผchler. (Wikipedia).
Mechanical Engineering: Forces on Submerged Surfaces (8 of 15) x=? of Dam Sections***
Visit http://ilectureonline.com for more math and science lectures! In this video I find the distances to the centroids of a parabolic dam sections of to the distributed load of the water on the dam. Next video in this series can be seen at:
From playlist MECHANICAL ENGINEERING 6 FORCES ON SUBMERGED SURFACES
Linear Algebra Example: Row Reduction
In this video, I walk you through the step-by-step process for row-reducing a matrix to either echelon form or reduced echelon form.
From playlist Linear Algebra Lectures
What is the difference of a trapezoid and an isosceles trapezoid
๐ Learn how to solve problems with trapezoids. A trapezoid is a four-sided shape (quadrilateral) such that one pair of opposite sides are parallel. Some of the properties of trapezoids are: one pair of opposite sides are parallel, etc. A trapezoid is isosceles is one pair of opposite sides
From playlist Properties of Trapezoids
Graph Data Structure 3. Traversing a Graph (algorithms)
This is the third in a series of videos about the graph data structure, including how to search a graph by systematically by visiting each and every vertex, namely, how to traverse a graph. Depth first traversal is compared with breadth first traversal, including explanations of how depth
From playlist Data Structures
Applying the midsegment theorem to find the base of a trapezoid
๐ Learn how to solve problems with trapezoids. A trapezoid is a four-sided shape (quadrilateral) such that one pair of opposite sides are parallel. Some of the properties of trapezoids are: one pair of opposite sides are parallel, etc. A trapezoid is isosceles is one pair of opposite sides
From playlist Properties of Trapezoids
How to use the midsegment theorem to find the length of a base of a trapezoid
๐ Learn how to solve problems with trapezoids. A trapezoid is a four-sided shape (quadrilateral) such that one pair of opposite sides are parallel. Some of the properties of trapezoids are: one pair of opposite sides are parallel, etc. A trapezoid is isosceles is one pair of opposite sides
From playlist Properties of Trapezoids
Lecture 13.1 โ The ups and downs of backpropagation [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 โ Geoffrey Hinton
Here we show a quick way to set up a face in desmos using domain and range restrictions along with sliders. @shaunteaches
From playlist desmos
Lecture 10 | Recurrent Neural Networks
In Lecture 10 we discuss the use of recurrent neural networks for modeling sequence data. We show how recurrent neural networks can be used for language modeling and image captioning, and how soft spatial attention can be incorporated into image captioning models. We discuss different arch
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
What is the trapezoid midsegment theorem
๐ Learn how to solve problems with trapezoids. A trapezoid is a four-sided shape (quadrilateral) such that one pair of opposite sides are parallel. Some of the properties of trapezoids are: one pair of opposite sides are parallel, etc. A trapezoid is isosceles is one pair of opposite sides
From playlist Properties of Trapezoids
Geoffrey Hinton: The Foundations of Deep Learning
Godfather of artificial intelligence Geoffrey Hinton gives an overview of the foundations of deep learning. In this talk, Hinton breaks down the advances of neural networks, as applied to speech and object recognition, image segmentation and reading or generating natural written language.
From playlist AI talks
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 โ Backpropagation
For more information about Stanfordโs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3qAoAeO Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
What are some characteristics of an isosceles trapezoid
๐ Learn how to solve problems with trapezoids. A trapezoid is a four-sided shape (quadrilateral) such that one pair of opposite sides are parallel. Some of the properties of trapezoids are: one pair of opposite sides are parallel, etc. A trapezoid is isosceles is one pair of opposite sides
From playlist Properties of Trapezoids
How Do Computers See Images? - Neural Networks
Hello everyone, this is a video that I made in a little over a week and I had originally planned to have all 3 parts into one. However, due to time constraints on #SoME2, I had to push most of the exciting and "less talked about" stuff into part 2 and 3. Note that this mainly serves as a
From playlist Summer of Math Exposition 2 videos
Deep Learning with Tensorflow - Deep Belief Networks
Enroll in the course for free at: https://bigdatauniversity.com/courses/deep-learning-tensorflow/ Deep Learning with TensorFlow Introduction The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance,
From playlist Deep Learning with Tensorflow
This is a sequel to Backpropagation 1: https://youtu.be/NLchKk9Cawg Here we mathematically justify the backpropagation algorithm.
From playlist MachineLearning
Geoffrey Hinton and his co-authors describe a biologically plausible variant of backpropagation and report evidence that such an algorithm might be responsible for learning in the brain. https://www.nature.com/articles/s41583-020-0277-3 Abstract: During learning, the brain modifies synap
From playlist General Machine Learning
Slab Design Example 1: Steel Reinforcing Drawing | Reinforced Concrete Design
http://goo.gl/T5trdU for more FREE video tutorials covering Concrete Structural Design The objectives of this video are to summarize all the obtained values for slab 1 including the bottom reinforcing for midspan, top reinforcing for continuous support & top reinforcing for discontinuous
From playlist SpoonFeedMe: Concrete Structures
Lecture 13/16 : Stacking RBMs to make Deep Belief Nets
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 13A The ups and downs of backpropagation 13B Belief Nets 13C Learning Sigmoid Belief Nets 13D The wake-sleep algorithm
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]