A Trick for Backpropagation of Linear Transformations
Posted4 months agoActive4 months ago
tripplyons.comTechstory
supportivepositive
Debate
20/100
BackpropagationLinear AlgebraDeep Learning
Key topics
Backpropagation
Linear Algebra
Deep Learning
The article explains a trick for simplifying backpropagation of linear transformations, and the discussion praises the clarity of the explanation while also highlighting some important caveats.
Snapshot generated from the HN discussion
Discussion Activity
Light discussionFirst comment
3d
Peak period
3
66-72h
Avg / period
3
Key moments
- 01Story posted
Sep 11, 2025 at 11:05 AM EDT
4 months ago
Step 01 - 02First comment
Sep 14, 2025 at 7:44 AM EDT
3d after posting
Step 02 - 03Peak activity
3 comments in 66-72h
Hottest window of the conversation
Step 03 - 04Latest activity
Sep 14, 2025 at 7:51 PM EDT
4 months ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
ID: 45212521Type: storyLast synced: 11/20/2025, 4:44:33 PM
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.
For example, a matrix product would need a complex conjugate, but a Hadamard product wouldn't.
If there is an elegant way to extend this to complex numbers, let me know!