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Tensorflow implementation for WAP: Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition

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WAP

Tensorflow implementation for WAP: Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition

Introduction

A end-to-end nonlinear OCR or image2txt model based on feature map attention mechanism and GRU/lstm

Installation

  • python2.7
  • tensorflow 1.3

Usage

  • Train

python2 WAP_Model.py

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Tensorflow implementation for WAP: Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition

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