vault backup: 2025-03-31 16:16:37
This commit is contained in:
parent
eb7e35a2a9
commit
e97bcb3b9b
8
5 Thesis/5 Resources/5 Resources - README.md
Normal file
8
5 Thesis/5 Resources/5 Resources - README.md
Normal file
@ -0,0 +1,8 @@
|
||||
# Table of Contents for 5 Resources
|
||||
|
||||
## Subdirectories
|
||||
- [[Literature_Reviews/Literature_Reviews - README]]
|
||||
|
||||
## Summary
|
||||
|
||||
Generated by llama3.2:latest
|
||||
@ -0,0 +1,14 @@
|
||||
The quick brown fox jumps over the lazy dog. The dog stays blissfully asleep. :)
|
||||
|
||||
Robert recommended this topic space to me: formal methods applied to machine
|
||||
learning algorithims. The purpose is clear-cut: if we're able to use formal
|
||||
methods to prove things about machine learning based systems, we can make
|
||||
claims that their implementation in critical systems is safe and viable.
|
||||
This review seems to talk a good bit about that.
|
||||
|
||||
# First Pass
|
||||
- Machine learned software is especially viable because it is more general
|
||||
than other types of programming. Things such as computer vision and decision
|
||||
making are very difficult to program manually relative to their ML counterpart.
|
||||
|
||||
|
||||
@ -0,0 +1,8 @@
|
||||
# Table of Contents for Literature_Reviews
|
||||
|
||||
## Files
|
||||
- [[A Review of Formal Methods applied to Machine Learning.md]]
|
||||
|
||||
## Summary
|
||||
|
||||
Generated by llama3.2:latest
|
||||
@ -5,6 +5,7 @@
|
||||
- [[2 Logs/2 Logs - README]]
|
||||
- [[3 Notes/3 Notes - README]]
|
||||
- [[4 Meetings/4 Meetings - README]]
|
||||
- [[5 Resources/5 Resources - README]]
|
||||
|
||||
## Files
|
||||
- [[Thesis Thoughts.md]]
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user