Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

Abhishek Thakur via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

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

Taught by

Abhishek Thakur

Reviews

Start your review of Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.