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• To build from scratch a CNN-based medical diagnosis model.
• To learn how to get and prepare medical dataset used in this work.
• To understand by examples how CNN layers are working.
• To learn by examples different measures which used to evaluate CNN.
• To learn different techniques used to improve the performances of CNN.
• To learn how to visualize CNN intermediate layers.
• To learn how to deploy the trained CNN model using flask API server.
• To learn how to implement all steps using python, tensorflow, and keras.