Training Neural Networks in C++

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Eduardo Corpeño

1:48:08

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01 Introduction

001 Create a neural network from scratch in C.mp4

01:06

002 What you should know.mp4

01:37

003 Using GitHub for the exercise files.mp4

01:36

02 Choosing a Neural Network

001 What is a neural network .mp4

01:26

002 Why C .mp4

00:54

003 The many applications of machine learning.mp4

04:08

004 Types of classifiers.mp4

04:19

005 Types of neural networks.mp4

02:38

006 Multilayer perceptrons.mp4

01:45

03 The Building Blocks of Neural Networks

001 Neurons and the brain.mp4

01:49

002 A simple model of a neuron.mp4

05:43

003 Activation functions.mp4

06:21

004 Perceptrons A better model of a neuron.mp4

03:53

005 Challenge Finish the perceptron.mp4

01:00

006 Solution Finish the perceptron.mp4

00:37

007 Logic gates.mp4

03:11

008 Challenge Logic gates with perceptrons.mp4

01:01

009 Solution Logic gates with perceptrons.mp4

00:46

04 Building Your Network

001 Linear separability.mp4

03:28

002 Writing the multilayer perceptron class.mp4

03:04

003 Challenge Finish the multilayer perceptron class.mp4

01:41

004 Solution Finish the multilayer perceptron class.mp4

02:07

05 Training Your Network

001 The need for training.mp4

04:45

002 The training process.mp4

03:47

003 Error function.mp4

02:27

004 Gradient descent.mp4

02:53

005 The delta rule.mp4

03:34

006 The backpropagation algorithm.mp4

09:12

007 Challenge Write your own backpropagation function.mp4

02:30

008 Solution Write your own backpropagation function.mp4

03:42

06 Make a Segment Display Classifier

001 Segment display recognition.mp4

03:11

002 Challenge Design your own SDR neural network.mp4

01:21

003 Solution Design your own SDR neural network.mp4

05:17

004 Challenge Train your own SDR neural network.mp4

03:41

005 Solution Train your own SDR neural network.mp4

06:50

07 Conclusion

001 Next steps.mp4

00:48

Description

Learn about the purpose, structure, and training process of neural networks to improve your machine learning skills. In this project-based course, instructor Eduardo Corpeño teaches you how to create an intelligent system with a neural network from scratch in C++, as well as how to choose the right neural network architecture and training method for each problem. Eduardo starts by explaining the difference between a neural network and other programming tools. He goes over why this course uses C++ and how to add different types of neural networks to your toolbox. The inspiration for artificial neural networks is the brain, and Eduardo relates parts of a biological neuron to C++ elements, then shows how to use activation functions and perceptrons in building neuron models. Eduardo covers the steps you will need to build and train your network. He explains segment display recognition, then guides you through designing and training your own SDR neural network.

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Neural Networks

Eduardo Corpeño

Instructor's Courses

Electrical and Computer Engineer with over 20 years of experience as an instructor and mentor at a leading technology university. Passionate about excellence and robust solutions that can solve problems efficiently. An embedded systems instructor experienced on the leading industry technologies in both commercial and open architectures. A seasoned programmer in a handful of the most industry relevant programming languages, not afraid of learning others quickly. Passionate about online education since 2011, having authored and produced over 30 online courses ranging from basic programming to AI applications and embedded systems.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.