A review of the book for research, educational and recommendations.
Recommendation numbered Nº: 13032020p1
🔘 Book page: syncfusion.com/ebooks/cntk_succinctly
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“Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework, enables you to create feed-forward neural network time series prediction systems, convolutional neural network image classifiers, and other deep learning systems. In Introduction to CNTK Succinctly, author James McCaffrey offers instruction on the basics of installing and running CNTK, and also addresses machine-learning regression and classification techniques. Exercises and explanations are included in each chapter”. (Syncfusion).
- Getting Started
- Logistic Regression
- Fundamental Concepts
- Neural Network Classifications
- Neural Binary Classification
- Neural Network Regression
- LSTM Time Series Regression
“This e-book is based on CNTK version 2.3, released in late 2017. Because CNTK is still under active development, by the time you read this e-book, the latest version will likely be different. However, any changes will likely be relatively minor and consist mainly of additional functionality. In other words, the code presented here should work with any CNTK 2.x version”. (Chapter 1. Getting Started).
CNTK v2.7 Release Notes. (04/01/2019)
(Unofficial biography. For informational purposes only).
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Please, thank the authors and the editor
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