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Neural Network in R Training Course

Course

Online

£ 1,750 VAT inc.

Description

  • Type

    Course

  • Methodology

    Online

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

About this course

Programming in any programming language recommended .

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Subjects

  • Project
  • Construction Training
  • Image
  • Construction
  • Algorithms
  • Networks
  • Network
  • Network Training
  • Network training algorithms
  • Network analysis

Course programme

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

Additional information

14 hours (usually 2 days including breaks)

Neural Network in R Training Course

£ 1,750 VAT inc.