EL 3019 Data Sciences is an academic course 🧑🎓
Warning : This is an ongoing project
The unit is an introdution to deep learning, with keras. We studied ConvNet and Dense neural netwoks. A focus is made on hyper-parameters, and regularisation techniques. The principal data proced are images from the MNIST dataset or some custom datasets.
The first six labs are training exercises, each focusing on a specific part of the deep learning process.
The final project is to do face rocognition on a small data base with a CNN, and then compare the efficency with other kind of classifier, such as KNN, SVM, and so on.
Find here our report on the final project
- cv2
- dlib
- tensorflow / keras
- numpy
- mathplotlib
- scikit-learn