http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112602155-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_75b86e50a7529f6158517db14a0b81df
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40
filingDate 2019-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_90902683f898b16b887b0e65173ea169
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2a649e01e879cc988da020c8817bb1df
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7b72529946a0c45f0ae6b89c2308219d
publicationDate 2021-04-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112602155-A
titleOfInvention Generate metadata for the trained model
abstract The present invention relates to trained models trained on training data, such as trained neural networks. Systems and computer-implemented methods are provided for generating metadata encoding numerical properties of training data for a trained model, and using the metadata to determine input data for the trained model and the training Consistency of the numerical properties of the data. If the input data does not conform to the numerical properties, the trained model may be used on the input data to be deemed non-compliant ("non-compliant"). Thus, a system applying the trained model to the input data may, for example, warn the user of non-compliance, or may refuse to apply the trained model to the input data, or the like.
priorityDate 2018-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419484695
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID4641

Total number of triples: 18.