This project was developed in the context of the curricular unit “Deep Learning” during my Master Degree. The objective was to implement a medical image classification with linear classifiers and neural networks and autodiff toolkit using the language Python. In the implementation with linear classifiers and neural networks no machine learning library (such as scikit-learn) was used, and the solution relied solely on Linear Algebra, using the numpy library to do so. The classification results are covered in a detailed project encompassing its development topics. The project was done in groups of 2 and was classified on 20/20.
