VLSI and Hardware Implementations using Modern Machine Learning Methods

11 Applications of the Approximate Computing on ML Architecture

Kattekola Naresh¹ and Shubhankar Majumdar²

¹ECE Department, VNR VJIET, Hyderabad, India

²ECE Department, NIT Meghalaya, Shillong, India

1. CONTENTS
2. 11.1 Approximate Computing
3. 11.1.1 Introduction
4. 11.1.2 Approximation
5. 11.1.3 Strategies of Approximation Computing
6. 11.1.4 What to Approximate
7. 11.1.5 Error Analysis in Approximate Computing
8. 11.2 Machine Learning
9. 11.2.1 Introduction
10. 11.2.2 Neural Networks
11. 11.2.2.1 Architecture
12. 11.2.2.2 Abilities and Disabilities
13. 11.2.3 Machine Learning vs. Neural Network
14. 11.2.4 Classifications of Neural Networks in Machine Learning
15. 11.2.4.1 Artificial Neural Network (ANN)
16. 11.2.4.2 Convolution Neural Network (CNN)
17. 11.2.5 Novel Algorithm in ANN
18. 11.2.5.1 Introduction ...