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
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