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US Patent 8965112 Sequence transcription with deep neural networks

Patent 8965112 was granted and assigned to Google on February, 2015 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
8965112
Date of Patent
February 24, 2015
Patent Application Number
14108474
Date Filed
December 17, 2013
Patent Citations Received
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US Patent 12061989 Machine learning artificial intelligence system for identifying vehicles
0
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US Patent 11776531 Encoder-decoder models for sequence to sequence mapping
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US Patent 11790523 Autonomous diagnosis of a disorder in a patient from image analysis
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US Patent 11935235 Diagnosis of a disease condition using an automated diagnostic model
0
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US Patent 11769493 Training acoustic models using connectionist temporal classification
Patent Primary Examiner
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Tsung-Yin Tsai
Patent abstract

Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.

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