OpenNN: Implementing Neural Networks培訓

課程代碼

OpenNN

課程時長

14 時間: 同常來說包括休息是 2天

最低要求

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

Audience

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

概觀

OpenNN是一個用C ++編寫的開源類庫,它實現了神經網絡,用於機器學習。

在本課程中,我們將介紹神經網絡的原理,並使用OpenNN來實現示例應用程序。

聽眾
希望創建深度學習應用程序的軟件開發人員和程序員。

課程形式
講座和討論以及動手練習。

Machine Translated

課程簡介

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

客戶評論

★★★★★
★★★★★

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