Deep Learning course from Instituto Balseiro
- Practica 0: Python OOP review
- Practica 1: Own implementation of classic Machine Learning techniques suchs as KNN, K-means, SGD regression
- Practica 2: Own implementation of keras' simplified version
- Practica 4: Use of Keras in related deep learning problem such as transfer learning, data augmentation, and use of some famous neural networks such as VGG and AlexNet
- Practica 5: More complex deep learning problems.
- Practica 6: Tree based practice wih simple trees, random forest and adabost.
- Practice 7: RNNs practice with LSTM neural networks