Neural Network in R Training Course

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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 Outline Course 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

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
From CA$7350
(98)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
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
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 Public Classroom Private Remote
1 CA$7350 CA$5050
2 CA$4125 CA$2900
3 CA$3050 CA$2183
4 CA$2513 CA$1825
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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
SK, SaskatoonMon, Jul 10 2017, 9:30 amCA$5050 / CA$8050
BC, Victoria - The AtriumMon, Jul 10 2017, 9:30 amCA$5050 / CA$7750
AB, Calgary – One Executive PlaceMon, Jul 10 2017, 9:30 amCA$5050 / CA$7550
BC, Burnaby Wed, Jul 12 2017, 9:30 amCA$5050 / CA$7450
ON, Markham - Trillium Executive CentreWed, Jul 12 2017, 9:30 amCA$5050 / CA$7350

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