Sequence transcription with deep neural networks

摘要

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.

主权项

1. A computer-implemented method comprising:
receiving, by the one or more computing devices, an image containing characters associated with character sequences; processing, by the one or more computing devices, the received image using a trained neural network, wherein
the trained neural network has been trained on a plurality of training images to predict character sequences in images by maximizing log P(S|X), wherein X represents an input image and S represents an output sequence of characters for the input image; andthe plurality of training images each contain a sequence of characters having a character sequence length that is greater than 1, wherein each character in the character sequence is a discrete variable having a finite number of multiple possible values; and generating, by the one or more computing devices, with the trained neural network a predicted sequence of characters based at least in part on the processing of the received image.