Statistical Approach to Monitor Quantisation in Neural Network Training
Project title:
Statistical Approach to Monitor Quantisation in Neural Network Training
Call code:
09I03-03-V04
Component:
9: More effective managing and strengthening research, development and innovation funding
Investment:
3. Excellent science
The code of the request for funds from the mechanism:
09I03-03-V04-00562
Requester identification (name, address, reggon):
Žilinská univerzita v Žiline, Univerzitná 8215/1 010 26 Žilina, IČO: 00397563
Principal investigator:
Ing. Roman Budjač, PhD.
Total amount of funds requested from the mechanism:
148 306,80 €
Maximal approved funds:
148 306,80 €
Start of project implementation:
1. 6. 2024
End of project implementation:
31. 5. 2026
Project goal:
The aim of the project is to bring new insights into neural network compression using statistical methods before and after the neural network compression process, and to implement these techniques into the neural network training process.
Project deliverables:
D1.1 Seminar (report)
D1.2 Results report
D1.3 Source code
D1.4 Publication at a scientific conference
D2.1 Seminar (report)
D2.2 Report of results
D3.1 Source code
D2.4 Publication at a scientific conference
D2.5 Interim report of project results
D3.1 Source code
D3.2 Seminar (report)
D3.3 Report of results
D4.1 Report of results
D4.2 Seminar (report)
D4.3 Results report
D4.4 Publication in a scientific journal
D4.5 Final report
Project milestones:
M1 Analysis and test of suitable statistical for weight distribution comparison
M2 Analysis of implementation weight distribution comparison into network training process.
M3 Implementing a new training strategy of neural network based on statistical method
M4 Proving the concept by Implementing statistical methods into the training process
Project activities:
Will be continuously updated
Project data (open science):
Will be continuously updated