Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

Learn how to implement a Convolutional-RNN model for captcha recognition using PyTorch and CTC loss in this comprehensive video tutorial. Explore the entire process from data preparation and configuration to model implementation, training, and inference. Follow along as the instructor guides you through creating a dataset, building the training file, visualizing data, designing the engine and model architecture, and finally executing the training and inference steps. Gain insights into advanced deep learning techniques for solving complex image recognition tasks, with code examples provided on GitHub for hands-on practice.

Introduction
Data & Config
Dataset
Training File Part - 1
Data View
Engine
Model
Train File Part - 2
Training and Inference