Neural Network Architectures and Deep Learning
This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional ...
Steve Brunton
What is backpropagation really doing? | Deep learning, chapter 3
What's actually happening to a neural network as it learns? Next video: https://youtu.be/tIeHLnjs5U8 Brought to you by you: http://3b1b.co/nn3-thanks And by ...
3Blue1Brown
Neural Networks with JavaScript - Full Course using Brain.js
This course gives you a practical introduction to building neural networks in the browser and in Node.js using the Brain.js JavaScript library. To complete the ...
freeCodeCamp.org
What is a Neural Network | Neural Networks Explained in 7 Minutes | Edureka
Machine Learning Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training ** This Edureka video on 'What is a Neural ...
edureka!
Neural Network 3D Simulation
Artificial Neural Networks 3D simulation. Subscribe to this YouTube channel or connect on: Web: https://www.cybercontrols.org/ LinkedIn: ...
Denis Dmitriev
Gradient descent, how neural networks learn | Deep learning, chapter 2
Home page: https://www.3blue1brown.com/ Brought to you by you: http://3b1b.co/nn2-thanks And by Amplify Partners. For any early-stage ML startup founders, ...
3Blue1Brown
Sound play with Convolution Neural Networks
In this video, I talk about processing audio using a convolutional Neural Network and discriminate environmental sounds.
CodeEmporium
Neural Networks Explained - Machine Learning Tutorial for Beginners
If you know nothing about how a neural network works, this is the video for you! I've worked for weeks to find ways to explain this in a way that is easy to ...
LearnCode.academy
DeepMind x UCL | Deep Learning Lectures | 2/12 | Neural Networks Foundations
Neural networks are the models responsible for the deep learning revolution since 2006, but their foundations go as far as to 1960s. In this lecture DeepMind ...
DeepMind
How CNN (Convolutional Neural Networks - Deep Learning) algorithm works
Follow my podcast: http://anchor.fm/tkorting In this video I present a simple example of a CNN (Convolutional Neural Network) applied to image classification of ...
Thales Sehn Körting
DeepMind x UCL | Deep Learning Lectures | 3/12 | Convolutional Neural Networks for Image Recognition
In the past decade, convolutional neural networks have revolutionised computer vision. In this lecture, DeepMind Research Scientist Sander Dieleman takes a ...
DeepMind
Convolutional Neural Network (CNN) | Convolutional Neural Networks With TensorFlow | Edureka
The code referenced in this video is from https://YouTube.com/Sentdex and ...
edureka!
Deep Learning Video Analytics - Stefan Vogel (AI Engineer at vsion.ai/DB Systel GmbH)
Stefan Vogel is an AI Engineer fighting every day for the sublime future of mobility. Cameras are everywhere but analysing unstructured image-data has been ...
Frankfurt Data Science
Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: James ...
MIT OpenCourseWare
What is a Neural Network - Ep. 2 (Deep Learning SIMPLIFIED)
With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could ...
DeepLearning.TV
How we teach computers to understand pictures | Fei Fei Li
When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too.
TED
Oscillating Neural Network Demonstration
It has been recognized for decades that the brain produces rhythmic patterns of electrical activity, colloquially known as 'brain waves'. These rhythmic patterns ...
McGovern Institute
TensorFlow Tutorial #02 Convolutional Neural Network
How to make a Convolutional Neural Network in TensorFlow for recognizing handwritten digits from the MNIST data-set. This tutorial has been updated to work ...
Hvass Laboratories
Lecture 1.4: Neural Mechanisms of Recognition, Part 2
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: James ...
MIT OpenCourseWare
Networks of Spiking Neurons Learn to Learn and Remember
Wolfgang Maass, Graz University of Technology https://simons.berkeley.edu/talks/wofgang-maass-4-17-18 Computational Theories of the Brain.
Simons Institute
Build an image classifier (ML Zero to Hero - Part 4)
In part four of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses the build of an image classifier for rock, paper, and ...
TensorFlow
You can grow new brain cells. Here's how | Sandrine Thuret
Can we, as adults, grow new neurons? Neuroscientist Sandrine Thuret says that we can, and she offers research and practical advice on how we can help our ...
TED
Neural Network that Changes Everything - Computerphile
Years of work down the drain, the convolutional neural network is a step change in image classification accuracy. Image Analyst Dr Mike Pound explains what it ...
Computerphile
Convolutional Neural Networks (CNNs) explained
CNNs for deep learning Included in Machine Leaning / Deep Learning for Programmers Playlist: ...
deeplizard
1: Course Overview and Ionic Currents - Intro to Neural Computation
MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: https://ocw.mit.edu/9-40S18 YouTube Playlist: ...
MIT OpenCourseWare
How Deep Neural Networks Work
Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 Visit the blog: ...
Brandon Rohrer
How computers learn to recognize objects instantly | Joseph Redmon
Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision ...
TED
DeepMind x UCL | Deep Learning Lectures | 8/12 | Attention and Memory in Deep Learning
Attention and memory have emerged as two vital new components of deep learning over the last few years. This lecture by DeepMind Research Scientist Alex ...
DeepMind
Larry Zipursky, Ph.D. - Cell Recognition and Neural Circuit Assembly
Larry Zipursky, Ph.D. Distinguished Professor, Biological Chemistry Investigator, Howard Hughes Medical Institute UCLA.
David Geffen School of Medicine UCLA
Linking Perceptual and Neuronal Face-Spaces in the Human Brain (Rafael Malach)
A fundamental unresolved problem in consciousness research is how to account in neuronal terms for the qualitative aspects of experience. In the specific case ...
Mathematical Consciousness Science
A simple spiking neuron model: biological background
See http://mathinsight.org/simple_spiking_neuron_model for context.
Duane Nykamp
Neural Plasticity: From Synapse to Perception
Neural Plasticity: From Synapse to Perception Air date: Wednesday, June 19, 2013, 3:00:00 PM Description: Wednesday Afternoon Lecture Series The cognitive ...
NIH VideoCast
MIA: Sam Lewallen, Manifold discovery of neural circuits; Ila Fiete, Cognitive maps of the brain
Models, Inference and Algorithms October 16, 2019 MIA Meeting: https://youtu.be/vGAhQwH6-90?t=3293 Primer Ila Fiete Fiete Lab; McGovern Institute, MIT ...
Broad Institute
Introduction aux réseaux neuronaux convolutionnel (Coding TensorFlow en français)
This video is available in English: https://goo.gle/2O8U7Qj Dans la troisième partie de l'apprentissage automatique: "Zero to Hero", Erin parle des réseaux ...
TensorFlow
Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6
Monet or Picasso? In this episode, we'll train our own image classifier, using TensorFlow for Poets. Along the way, I'll introduce Deep Learning, and add context ...
Google Developers
Introduction to Deep Learning: What Are Convolutional Neural Networks?
Explore the basics behind convolutional neural networks (CNNs) in this MATLAB® Tech Talk. - Learn more about Deep Learning: https://goo.gl/F8tBZi ...
MATLAB
Vision - Light and Neuronal Activity
The eye anatomy and its most common diseases.
takethewindcompany
Neil Burgess, PhD – Neural Mechanisms of Spatial Cognition
This video is about MusJames B. Ranck, Jr. MD is distinguished teaching professor emeritus of physiology and pharmacology at SUNY Downstate Medical ...
Downstate TV
10: Time Series - Intro to Neural Computation
MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: https://ocw.mit.edu/9-40S18 YouTube Playlist: ...
MIT OpenCourseWare
12a: Neural Nets
NOTE: These videos were recorded in Fall 2015 to update the Neural Nets portion of the class. MIT 6.034 Artificial Intelligence, Fall 2010 View the complete ...
MIT OpenCourseWare
John Hopfield: Mind From Machine
The “machine learning” revolution that has brought us self-driving cars, facial recognition and robots who learn can be traced back to John Hopfield, whose ...
The Franklin Institute
Synaptic plasticity
How the brain changes changes the strength of connections between neurones, to enable us to learn and remember.
Brains Explained
