← Search

Data · dataset · 2022

Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

Listed in DaRUS

This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent".

Description

The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 72%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-297813 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (72%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].dataverse_subject:mathematical-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0