TF2 implementation of Text recognition CRNN

ctc decoder

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.

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

CRNN implementation with TensorFlow 2

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

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

Tensorflow practice

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

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

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

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

Real-time Gender and Age Recognition from Audio using CRNN

Real-time Gender and Age Recognition from Audio using CRNN

This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.

This project uses deep learning and NLP to classify songs by sentiment and genre through combined audio and text analysis. It processes lyrics and audio features, integrating both in a neural network for enhanced accuracy, providing a structured pipeline for data loading, training, and visualization.