In this project we will develop a model to classify the images of breast cancer and predict whether the given image belongs to class 0 or class 1 (Class 0 → No Invasive Ductal Carcinoma, Class 1 → Yes Invasive Ductal Carcinoma). We’ll develop a base model and then learn how we can improve the accuracy or reduce the underfitting/overfitting of the model using different techniques such as data augmentation and transfer learning. We’ll start with the vanilla model and then move to the Vgg16 model with a transfer learning approach.
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