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This tutorial demonstrates how to prepare brain-image data and build, train, and test a TensorFlow/Keras convolutional neural network to classify images as healthy or showing a tumor. It covers data splitting, augmentation, normalization, model evaluation, and prediction with OpenCV.
Syllabus
Intro
Installation - Python libraries
Download the dataset and prepare the folders
create the CNN model using Python
Test the model - Predict a brain image - " Is it healthy or Tumor ? .... "
Taught by
Eran Feit