Neural network

Neural Networks 1 Neural Units

From playlist Week 5: Neural Networks

Neural Network Overview

This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

Neural Network Architectures & Deep Learning

This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders. Book website: http://databookuw.com/ Steve Brunton

From playlist Data Science

Graph Neural Networks, Session 2: Graph Definition

Types of Graphs Common data structures for storing graphs

From playlist Graph Neural Networks (Hands-on)

Neural Networks: Caveats

This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

Neural Networks (Part 1)

In this video, I present some applications of artificial neural networks and describe how such networks are typically structured. My hope is to create another video (soon) in which I describe how neural networks are actually trained from data.

From playlist Machine Learning

Neural Networks and Deep Learning

This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly improving computational hardware, which have enabled the training of deep neural networks. Book website: http://databookuw.com/

From playlist Intro to Data Science

What is Neural Network in Machine Learning | Neural Network Explained | Neural Network | Simplilearn

This video by Simplilearn is based on Neural Networks in Machine Learning. This Neural Network in Machine Learning Tutorial will cover the fundamentals of Neural Networks along with theoretical and practical demonstrations for a better learning experience 🔥Enroll for Free Machine Learning

From playlist Machine Learning Algorithms [2022 Updated]

Social Networks 1 Networks

From playlist Week 9: Social Networks

Neural Network In Artificial Intelligence | Neural Network Explained | Neural Network | Simplilearn

Neural Network in artificial intelligence by simplilearn is a tutorial based on the fundamentals of neural network programming. In this video, we are going to discuss the role of *Neural Network in Artificial Intelligence* in different fields.This video will give idea on how neural network

From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn

Data Science - Part VIII - Artifical Neural Network

For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of biological based learning in the brain and how to simulate this approach thr

From playlist Data Science

What is a Neural Network? | How Deep Neural Networks Work | Neural Network Tutorial | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=WhatisaNeuralNetwork-VB1ZLvgHlYs&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https:

From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn

Neural Network Fundamentals (Part1): Input and Output

I have a more up to date, clearer, and faster :-) version here: https://www.youtube.com/watch?v=fAfr48Fh2eI From http://www.heatonresearch.com. A simple introduction to how to represent the XOR operator to machine learning structures, such as a neural network or support vector machine.

From playlist Neural Networks by Jeff Heaton

Stefania Ebli (8/29/21): Simplicial Neural Networks

In this talk I will present simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes. These are natural multi-dimensional extensions of graphs that encode not only pairwise relationships but

From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021

Neural Networks: Crash Course Statistics #41

Today we're going to talk big picture about what Neural Networks are and how they work. Neural Networks, which are computer models that act like neurons in the human brain, are really popular right now - they're being used in everything from self-driving cars and Snapchat filters to even c

From playlist Statistics

Types of Neural Networks (Neural Networks for DH 07)

In this video, we explore more closely the different types of neural networks that exist and what they are used for. I speak generally about how the data is passed through the neural network and what kind of operations generally happen to that data. I speak specifically about Feed Forward

From playlist Machine Learning for Digital Humanities (DH)

NVIDIA Deep Learning Course Class #1 – Introduction to Deep Learning

Register for the full course at https://developer.nvidia.com/deep-learning-courses This first in a series of webinars Introduction to Deep Learning covers basics of Deep Learning, why it excels when running on GPUs, and the three major frameworks available for taking advantage of Deep Lear

From playlist Deep Neural Networks

11.1: Introduction to Neuroevolution - The Nature of Code

Welcome to a new topic in the Nature of Code series: Neuroevolution! 🎥 Next Video: https://youtu.be/kCx2DElEpP8 🔗 Toy-Neural-Network-JS: https://github.com/CodingTrain/Toy-Neural-Network-JS 🔗 Nature of Code: http://natureofcode.com/ 🎥 My Neural Networks series: https://www.youtube.com/p

From playlist 11: Neuroevolution - The Nature of Code

Neural Networks Pt. 1: Inside the Black Box

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple

From playlist StatQuest