Artificial neural networks | Classification algorithms
In machine learning, the perceptron (or McCulloch-Pitts neuron) is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. (Wikipedia).
Introduction to this lecture series on perioperative management.
From playlist Perioperative Patient Care _ Demo
What is percussive maintenance?
Words and phrases in engineering might not always become layman's terms, but we are certain you have fixed something before with percussive maintenance. video link: Join our YouTube channel by clicking here: https://bit.ly/3asNo2n Find us on Instagram: https://bit.ly/3PM21xW Find us on F
From playlist Engineering Lexicon
Lecture One_Preoperative cardiac evaluatiuon
The preoperative evaluation of a patient with cardiac conditions undergoing noncardiac surgery.
From playlist Perioperative Patient Care _ Demo
Top Tips for Online Job Applications
Here's our video showcasing some top tips on perfecting your online applications to ensure you stand the best chance of job success. For more advice on your job applications or searching for the right role, go to www.pertemps.co.uk
From playlist Job Applications
The First Real Life Pictures EVER of Perfluorocubane
Take a look at the first pictures of perfluorocubane! In this video I discuss the recent synthesis of perfluorocubane. I want to give a huge thank you to Midori Akiyama and Masafumi Sugiyama for allowing me to share their beautiful photos of perfluorocubane and its precursors. For inquiri
From playlist Remarkable Chemistry
Lecture 02 Assessment of pulmonary risk part 1
Assessment of pulmonary risk part 1
From playlist Perioperative Patient Care _ Demo
Adding color to the output of your Perl scripts enhances the readability and user acceptance. It is easily dome as we show using the module Term::ANSIColor. The video also shows how to stat a file and print the size and owner name Additionally you can find my video courses on Pluralsight:
From playlist Learning Perl
From playlist Trigonometry TikToks
Using Perl to Display File Size
We have seen that we can prompt for user input and we now expand upon this into something a little more practical. In this video we prompt for a filename and then return the name and size of the file Additionally you can find my video courses on Pluralsight: http://pluralsight.com/training
From playlist Learning Perl
Lecture 2/16 : The Perceptron learning procedure
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 2A An overview of the main types of neural network architecture 2B Perceptrons: The first generation of neural networks 2C A geometrical view of perceptrons 2D Why the learning works 2E What perceptrons can't do
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
10.2: Neural Networks: Perceptron Part 1 - The Nature of Code
In this video, I continue my machine learning series and build a simple Perceptron in Processing (Java). Perceptron Part 2: https://youtu.be/DGxIcDjPzac This video is part of Chapter 10 of The Nature of Code (http://natureofcode.com/book/chapter-10-neural-networks/) This video is also p
From playlist Session 4 - Neural Networks - Intelligence and Learning
10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
In this video, I move beyond the Simple Perceptron and discuss what happens when you build multiple layers of interconnected perceptrons ("fully-connected network") for machine learning. Next video: https://youtu.be/IlmNhFxre0w This video is part of Chapter 10 of The Nature of Code (http
From playlist Session 4 - Neural Networks - Intelligence and Learning
10.3: Neural Networks: Perceptron Part 2 - The Nature of Code
This is a follow-up to my Perceptron Video (https://youtu.be/ntKn5TPHHAk) This video is part of Chapter 10 of The Nature of Code (http://natureofcode.com/book/chapter-10-neural-networks/) This video is also part of session 4 of my Spring 2017 ITP "Intelligence and Learning" course (https
From playlist Session 4 - Neural Networks - Intelligence and Learning
Lecture 2B : Perceptrons: The first generation of neural networks
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 2B : Perceptrons: The first generation of neural networks
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Live Stream #95: End of Session 3 + Start of Session 4 of "Intelligence and Learning"
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the "Intelligence and Learning" course. I build a simple Perceptron example in Processing. This video is part of the third and fou
From playlist Live Stream Archive
Shuangping Li (Princeton) -- Binary perceptron
It was recently shown that almost all solutions in the symmetric binary perceptron are isolated, even at low constraint density. In apparent contrast to that, some algorithms have been shown empirically to succeed in finding solutions at low density. This phenomenon has been explained nume
From playlist Northeastern Probability Seminar 2021
Perceptrons - Deep Learning Dictionary
What is a perceptron? 👉 To gain early access to the full Deep Learning Dictionary course, register at: 🔗 https://deeplizard.com/course/ddcpailzrd 👉 For more in depth lessons, check out the Deep Learning Fundamentals course: 🔗 https://deeplizard.com/course/dlcpailzrd 🕒🦎 VIDEO SECTIONS 🦎🕒
From playlist Deep Learning Dictionary - Lightweight Crash Course
Lecture 2E : What perceptrons can't do
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 2E : What perceptrons can't do
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
But what is an Artificial Neuron? | Artificial Neurons decoded
#ArtificialNeuron #perceptron #deeplearning In this video, I have explained the concept of an artificial neuron from a mathematical point of view. This video will help the beginners to understand the building blocks of the modern day deep neural nets. You will get to know what are the dif
From playlist Learn Machine Learning Concepts
Trigonometric Functions: Sine, Cosine, Tangent, Cosecant, Secant, and Cotangent
Oh man, what is all this sine and cosine business? What do these things even mean?! And Greek letters now? I don't know Greek! OK friend, just relax. Understanding the trig functions is as easy as pi radians. We just make some triangles and set up a few definitions. I promise it's no sweat
From playlist Trigonometry