OpenNN: Implementing neural networks Training Course

Course CodeCourse Code

OpenNN

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

  • An understanding of data science concepts
  • C++ programming experience is helpful

Overview Overview

OpenNN is an open-source class library written in C++  which implements neural networks, for use in machine learning.

In this course we go over the principles of neural networks and use OpenNN to implement a sample application.

Audience
    Software developers and programmers wishing to create Deep Learning applications.

Format of the course
    Lecture and discussion coupled with hands-on exercises.

Course OutlineCourse Outline

Introduction to OpenNN, Machine Learning and Deep Learning

Downloading OpenNN

Working with Neural Designer
    Using Neural Designer for descriptive, diagnostic, predictive and prescriptive analytics

OpenNN architecture
    CPU parallelization

OpenNN classes
    Data set, neural network, loss index, training strategy, model selection, testing analysis
    Vector and matrix templates

Building a neural network application
    Choosing a suitable neural network
    Formulating the variational problem (loss index)
    Solving the reduced function optimization problem (training strategy)

Working with datasets
     The data matrix (columns as variables and rows as instances)

Learning tasks
    Function regression
    Pattern recognition

Compiling with QT Creator

Integrating, testing and debugging your application

The future of neural networks and OpenNN

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
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 £2600
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 £2600
2 £1750
3 £1467
4 £1325
Public Classroom
From £2900
(114)
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 £2900
2 £1925
3 £1600
4 £1438
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Related Courses

Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
BrightonMon, 2018-02-05 09:30£2600 / £3000
London, Hatton GardenTue, 2018-02-06 09:30£2600 / £3350
CambridgeWed, 2018-02-07 09:30£2600 / £3050
Swansea- Princess HouseWed, 2018-02-07 09:30£2600 / £2900
LeedsThu, 2018-02-08 09:30£2600 / £3000

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