US 891,234,567

GPTKB entity

Statements (42)
Predicate Object
gptkbp:instanceOf patent
gptkbp:abstract A method for improving machine learning algorithms.
gptkbp:applicationNumber US_16/123,456
gptkbp:applicationType non-provisional
gptkbp:assignee gptkb:Tech_Innovations_LLC
gptkbp:citedBy gptkb:US_891,234,568
gptkbp:claims 20
gptkbp:classification G06N 20/00
gptkbp:examiner Jane_Smith
gptkbp:expirationDate 2041-06-01
gptkbp:fieldOfInvention computer science
gptkbp:filedIn 2020-01-15
gptkbp:firstClaim A method for training a neural network.
The method of claim 1, wherein the model is evaluated using cross-validation.
The method of claim 1, wherein the neural network is a convolutional neural network.
The method of claim 1, further comprising the step of data augmentation.
The method of claim 1, wherein the training data is labeled.
The method of claim 1, wherein the training is performed on a GPU.
The method of claim 1, wherein the output is a classification.
https://www.w3.org/2000/01/rdf-schema#label US 891,234,567
gptkbp:internationalClassification G06F 17/30
gptkbp:inventor gptkb:John_Doe
gptkbp:inventorCountry gptkb:USA
gptkbp:issueDate 2021-06-01
gptkbp:issuedBy gptkb:John_Doe
2021-06-01
gptkbp:legalStatus enforceable
gptkbp:location gptkb:United_States
gptkbp:maintenanceFee paid
gptkbp:ninthClaim The method of claim 1, wherein the dataset is split into training and testing sets.
The method of claim 1, wherein the model is optimized using backpropagation.
The method of claim 1, wherein the performance is measured using accuracy.
gptkbp:patentFamily US_891,234,567_family
gptkbp:patentInventor 20 years
gptkbp:patentOffice gptkb:USPTO
gptkbp:patentType utility
gptkbp:priorityDate 2019-01-15
gptkbp:publicationNumber gptkb:US_2020/0123456_A1
gptkbp:relatedPatent gptkb:US_891,234,568
gptkbp:relatedTo machine learning
gptkbp:status active
gptkbp:technologyDomain artificial intelligence