Sign Language Prediction Using ResNet-50

Sign Language Prediction Project Using Resnet 50

Learn How to Create Sign Language Prediction Project Using Resnet 50

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Last Updated: 2025-02-11 09:02:51 English Course Type: Self Learning

Data Collection & Preprocessing for Sign Language

Unlock the power of deep learning and computer vision with our Sign Language Prediction Using ResNet-50 course! This course is designed to help you build an intelligent sign language recognition system using ResNet-50, a powerful deep learning model. Whether you're a beginner in AI or an experienced developer, this course will guide you step-by-step in training and deploying a model capable of accurately predicting hand gestures and translating them into meaningful text.

What You Will Learn:

✅ Introduction to Sign Language Recognition
✅ Fundamentals of Deep Learning & ResNet-50 Architecture
✅ Data Collection & Preprocessing for Sign Language
✅ Training a Custom Sign Language Model using ResNet-50
✅ Evaluating and Deploying the Model for Real-time Predictions

By the end of this course, you'll have built a fully functional sign language prediction system that can recognize and interpret hand gestures effectively.

Basics Of Python

Beginners and Students

Section 1 : Sign Language Prediction Project Using Resnet 50 6 Lectures 00:12:43
Lecture 1 :
Introduction To Project Preview
Lecture 2 :
Project Class 1 : Import Packages
Lecture 3 :
Project Class 2 : Import Dataset
Lecture 4 :
Project Class 4 : Train Dataset Using ResNet 50 Model
Lecture 5 :
Project Class 3 : Dataset Classification
Lecture 6 :
Project Class 5 : Project Output & Conclusion

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Arunnachalam RS,

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Hi Friends !! I am Arunnachalam R S From India. I am a Computer Science Student and I have Selected Cybersecurity as my Profession. I teach people about the latest technology. I am a big cricket fan of MS Dhoni. I can help people with my knowledge about the technology. I am choosing LearnFly to show my passion towards technology and Science..