Some Course Slides
Deep Learning
- Introduction
- Ensembles, Boosting and Bagging
- Data, Loss, Cost and Optimization
- Neural Networks
- Convolutional Neural Networks
- Regularisation
- Optimisation
- Sequential Neural Networks
- Multivariate Forecasting
- Empirical Risk Minimisation
- Similarity Learning
- Unsupervised Learning
- Generative Learning and Density Estimation