Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

RPA(Robotic Process Automation) UiPath 實戰開發範例

This is simple and easy way to identification and recognition of handwritten text from an image. An Optical Character Recognition (OCR) is type of image-based sequence recognition problem. So, i used CRNN to cop up this problem. This will help to extract text from an image.

TF2 implementation of Text recognition CRNN

Convolutional Recurrent Neural Network (CRNN) for reading Captchas(驗證碼)

This repository contains code for Scene Text OCR following the famous CRNN model. The detection part is handled by EAST and the recognition is done by CRNN.

Tuning, training, and transfer learning CRNN models for handwritten text words.

Tensorflow practice

My implementations of different deep learning architectures for text recognition with TensorFlow 2.

CRNN implementation with TensorFlow 2

ctc decoder

Raw Audio End-to-End Deep Learning Architectures for Sound Event Detection

Implementation of the 2019 paper 'Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction'