IOGS - ATSI machine learning course
Neural networks
- The artificial neuron
- Multi-layer perceptron
- Stochastic Gradient Descent
- Binary / multi-label classification
Practical session: Notebook
Deep learning
- back on previous course
- the convolutional layer
- Activations / batchnorms…
Practical session: Notebook
Unsupervised learning
- Principal component analysis
- K-means
- Self-supervison