Resnet
CA · 4 filings, 2025
Lobbying spend · 2025
$120K
to shape legislation
About the organization
A residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition, and won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) of that year. via Wikipedia ↗
1Lobbies on
Its filings list: Energy/Nuclear · Housing · Taxation/Internal Revenue Code · Veterans · Natural Resources
2Through these firms · 1
WINNING STRATEGIES WASHINGTON
3Bills moving in its lanes
No bill names this company outright; these are recent bills in the sectors it lobbies.
- S 5236A bill to amend title XIX of the Social Security Act to ensure Medicaid coverage of mental health services…
- S 5227A bill to amend the Internal Revenue Code of 1986 to allow certain distributions from long-term qualified t…
- S 5231A bill to remove limitations under Medicaid, Medicare, CHIP, and the Department of Veterans Affairs on bene…
- HR 10029Tax credit for school supplies
- HR 10033Rules for self-driving cars and emergency crews