| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_51d028c578ae85cb937b5b34a5129fbc |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-0006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T1-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4046
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T1-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F15-7807 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2021-09-25^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b274fa9128a16d311b5198fa9e317870
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a19f9e1880290467b8de9278185c860e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fee00ec5461134c5ed5a07c3fd17ed35
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fb35e97cc53d06af2b91fc9679b4b9ba
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_41759e1ed9d87cf80c34e567141669d3 |
| publicationDate |
2022-06-30^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022207359-A1 |
| titleOfInvention |
Method and apparatus for dynamic normalization and relay in a neural network |
| abstract |
Embodiments are generally directed to methods and apparatuses for dynamic normalization and relay in a neural network. An embodiment of an apparatus for dynamic normalization and relay in a neural network including a hyper normalization layer comprises: a compute engine to: generate a hidden state and a cell state for the hyper normalization layer based on an input feature map for the hyper normalization layer as well as a previous hidden state and a previous cell state; and normalize the input feature map in the hyper normalization layer with the hidden state and the cell state for the hyper normalization layer. |
| priorityDate |
2020-12-24^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |