Changeover from one neural network to another neural network
AssigneeMicrosoft Technology Licensing, LLC
InventorsUri Merhav, Dan Shacham
Life of this patent
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AssigneeMicrosoft Technology Licensing, LLC
InventorsUri Merhav, Dan Shacham
Estimating the term…
In an example embodiment, for each of one or more input documents: a first value is determined for the first metric for a first transformation of the input document by passing the first transformation to s first Deep Convolutional Neural Network (DCNN), a second transformation of the input document is determined by passing the input document to a second DCNN, the second transformation of the input document is passed to the first DCNN, obtaining a second value for the first metric for the second transformation of the input document, the first and second transformations being of the first transformation type, and a difference between the first value and the second value for the input document is determined. Then it is determined whether to change the system over from the first DCNN to the second DCNN based on the difference between the first value and the second value.
A computerized method for changing a system over from a first deep convolutional neural network (DCNN) to a second DCNN, the first DCNN trained to output a value for a first metric for a document input to the first DCNN and the second DCNN trained to output a transformation of a first transformation type for a document input to the first DCNN, the method comprising:
A system comprising:
A non-transitory machine-readable storage medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform operations for changing a system over from a first deep convolutional neural network (DCNN) to a second DCNN, the first DCNN trained to output a value for a first metric for a document input to the first DCNN and the second DCNN trained to output a transformation of a first transformation type for a document input to the first DCNN, the operations comprising:
Dependencies are inferred from the claim text.