Traffic Sign Recognition Using Deep Learning | CNN | Python

🚦 Traffic Sign Recognition Using CNN - Deep Learning Tutorial 🚦
📺 Video Overview:
Welcome to Knowledge Doctor ! In this tutorial, we'll dive into the exciting world of deep learning and computer vision to implement Traffic Sign Recognition using Convolutional Neural Networks (CNN). Whether you're a beginner or an experienced developer, this step-by-step guide will help you understand the key concepts and implement a robust traffic sign recognition system.
🔍 Topics Covered:
Introduction to Traffic Sign Recognition
Overview of Convolutional Neural Networks (CNN)
Dataset Preparation and Exploration
Data Preprocessing Techniques
Building the CNN Model Architecture
Training the Model
Model Evaluation and Testing
Traffic Sign Recognition Web Apps Using Flask
Real-time Traffic Sign Recognition (Optional)
Conclusion and Next Steps
🛠️ Tools and Technologies:
Python
TensorFlow
Jupyter Notebooks
OpenCV
Visual Studio Code
🐱‍🏍Dataset Link 🤜 drive.google.c...
📚 Prerequisites:
Basic understanding of Python programming
Familiarity with deep learning concepts is helpful but not mandatory
🔗 Code and Resources:
💻 Source Code: github.com/Cha...
💡 Expand your knowledge and enhance your coding skills with this hands-on project! 💪
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🎬 Don't miss out on this amazing tutorial! Watch now and start building Traffic Sign Recognition. 🔐
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