OpenNN: Implementing Neural Networks培训

课程编码

OpenNN

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

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

Audience

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

课程概览

OpenNN是一个用C ++编写的开源类库,它实现了神经网络,用于机器学习。

在本课程中,我们将介绍神经网络的原理,并使用OpenNN来实现示例应用程序。

听众
希望创建深度学习应用程序的软件开发人员和程序员。

课程形式
讲座和讨论以及动手练习。

Machine Translated

课程大纲

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

Summary and conclusion

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