Data Science: CNN & OpenCV: Breast Cancer Detection

🚀 Data Science: CNN & OpenCV - Breast Cancer Detection Course 📚

Headline: A Practical Hands-On Deep Learning Project on Building a Breast Cancer Detection Model Using Tensorflow, CNN, and OpenCV

Course Overview:

Are you passionate about AI, Machine Learning, and the intersection of technology with healthcare? This course is designed for individuals who aspire to detect breast cancer using AI algorithms by analyzing whole mount slide images. We'll dive deep into leveraging Tensorflow, Convolutional Neural Networks (CNN), and OpenCV to build a high-accuracy model for predicting the presence of breast cancer cells.

What You Will Learn:

📁 Project Setup:

• Introduction to Google Colab (Task 1 & 2)
• Understanding the project's folder structure (Task 3)
• Setting up the project environment in Google Colab (Task 5 & 6)

🗂️ Data Exploration:

• Analyzing dataset and folder organization (Task 4)
• Data visualization techniques to understand distribution (Task 9 & 10)

⚙️ Model Building:

• Implementing Model Checkpoints (Task 30 & 31)
• Model fitting with ResNet50 and Custom CNN (Task 33)
• Predicting test data with both models (Task 42 & 43)
• Real-time image prediction (Task 44 & 46)

🔎 Model Evaluation:

• Generating Classification Reports (Task 36)
• Computing Confusion Matrix, Sensitivity, and Specificity (Task 38)
• Understanding AUC-ROC for performance evaluation (Task 40)

🚀 Advanced Techniques:

• Increasing model prediction capabilities (Task 47)

Course Highlights:

• Comprehensive pipeline from data loading to prediction on the cloud.
• Building an IDC image classification model from scratch.
• Hands-on experience with Tensorflow, CNN, and OpenCV.

Why Take This Course?

Machine learning has a profound impact on health diagnostics, and this course will equip you with the skills to harness its potential. By the end of this course, you'll have a solid understanding of deep learning applications in healthcare.

What You Get:

• A Certificate of completion from AutomationGig.
• Access to the Jupyter notebook and other project files after course completion.

Ready to Dive In?

🎓 Enroll now and embark on your journey to master one of the most in-demand skills of the 21st century with just a few hours of learning!

Course Resources:

• The course includes step-by-step guided content, Jupyter notebooks, and a comprehensive resource section.
• Real-world datasets to work with.
• Supporting materials for a deeper understanding.

🛠️ Note: This course is for educational purposes only. The content and code provided are meant to teach and should be used responsibly in accordance with ethical guidelines and legal regulations.

Happy Learning! 🎓✨

[Background Music by bensound] 🎶

Ready to enroll and take the first step towards mastering AI for health diagnostics? Click the "ENROLL NOW" button and join us on this exciting learning journey! 🚀