Hands-On Neural Network Programming with C#
This book will give you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with C#. From simple perceptrons through GRU’s, you’ll learn to understand and implement these technologies using the concepts you’ve learned. Explore methods to optimize and adapt neural networks in real time.
Offered by
Difficulty Level
Intermediate
Completion Time
10h56m
Language
English
About Book
Who Is This Book For?
This book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book
Hands-On Neural Network Programming with C#
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h56m total length
A Quick Refresher
Building our first Neural Network Together
Decision Tress and Random Forests
Face and Motion Detection
Training CNNs using ConvNetSharp
Training Autoencoders Using RNNSharp
Replacing Back Propagation with PSO
Function Optimizations; How and Why
Finding Optimal Parameters
Object Detection with TensorFlowSharp
Time Series Prediction and LSTM Using CNTK
GRUs Compared to LSTMs, RNNs, and Feedforward Networks
Appendix A- Activation Function Timings
Appendix B- Function Optimization Reference
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