👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️
How to gather and preprocess a dataset of over 80,000 retinal images, design a CNN deep learning model , and train it 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.
You can find link for the code in the blog : https://eranfeit.net/build-a-cnn-model-for-retinal-image-diagnosis/
You can find more tutorials, and join my newsletter here : https://eranfeit.net/
Check out our tutorial here : https://youtu.be/PVKI_fXNS1E&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran
#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks #computervision #transferlearning