Invention Grant
- Patent Title: Sequence transcription with deep neural networks
- Patent Title (中): 深层神经网络序列转录
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Application No.: US14108474Application Date: 2013-12-17
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Publication No.: US08965112B1Publication Date: 2015-02-24
- Inventor: Julian Ibarz , Yaroslav Bulatov , Ian Goodfellow
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06K9/62
- IPC: G06K9/62

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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