Code for : Build a CNN Model for Retinal Image Diagnosis

Link for the tutorial : https://youtu.be/PVKI_fXNS1E

👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️

Welcome to our tutorial on building a Convolutional Neural Network (CNN) model to classify retinal images into four distinct categories.

In this step-by-step guide, you'll learn how to gather and preprocess a dataset of over 80,000 retinal images, design a powerful CNN architecture, and train a model that can accurately distinguish between these health categories.

🔥 What You'll Learn:

✅ Data Collection and Preprocessing: Discover how to acquire and prepare retinal images for optimal model training.

✅ CNN Architecture Design: Create a customized architecture tailored to retinal image classification.

✅ Training Process: Explore the intricacies of model training, including parameter tuning and validation techniques.

✅ Model Evaluation: Learn how to assess the performance of your trained CNN on a separate test dataset.