Neural Network in R Training Course

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Course CodeCourse Code

rneuralnet

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Programming in any programming language recommended .

Overview Overview

This course is an introduction to applying neural networks in real world problems using R-project software.

Course OutlineCourse Outline

Introduction to Neural Networks

  1. What are Neural Networks
  2. What is current status in applying neural networks
  3. Neural Networks vs regression models
  4. Supervised and Unsupervised learning

Overview of packages available

  1. nnet, neuralnet and others
  2. differences between packages and itls limitations
  3. Visualizing neural networks

Applying Neural Networks

  • Concept of neurons and neural networks
  • A simplified model of the brain
  • Opportunities neuron
  • XOR problem and the nature of the distribution of values
  • The polymorphic nature of the sigmoidal
  • Other functions activated
  • Construction of neural networks
  • Concept of neurons connect
  • Neural network as nodes
  • Building a network
  • Neurons
  • Layers
  • Scales
  • Input and output data
  • Range 0 to 1
  • Normalization
  • Learning Neural Networks
  • Backward Propagation
  • Steps propagation
  • Network training algorithms
  • range of application
  • Estimation
  • Problems with the possibility of approximation by
  • Examples
  • OCR and image pattern recognition
  • Other applications
  • Implementing a neural network modeling job predicting stock prices of listed

TestimonialsTestimonials

new insights in deep machine learning

Josip Arneric - Faculty of Economics and Business Zagreb

We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.

Tea Poklepovic - Faculty of Economics and Business Zagreb

Graphs in R :)))

- Faculty of Economics and Business Zagreb

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From 2080EUR
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 2080EUR
2 1340EUR
3 1093EUR
4 970EUR
Public Classroom
From 2580EUR
(62)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 2580EUR
2 1640EUR
3 1327EUR
4 1170EUR
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Related Categories

Related Courses


Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Orléans, Central StationMon, 2017-11-06 09:302080EUR / 2580EUR
Strasbourg, Kibitzenau Station Wed, 2017-11-08 09:302080EUR / 2580EUR
Clermont-Ferrand, ZI Le BrézetThu, 2017-11-16 09:302080EUR / 2580EUR
Toulouse, City CenterTue, 2017-11-21 09:302080EUR / 2580EUR
Bordeaux, MériadeckThu, 2017-11-30 09:302080EUR / 2580EUR

Course Discounts

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