Lectures related to Sled dog | EPFL Graph Search

Covers the Boltzmann Machine, a type of stochastic recurrent neural network.

Covers the basics of machine learning for physicists and chemists, focusing on image classification and dataset labeling.

Linear Regression and Gradient Descent

Covers linear regression, gradient descent, overfitting, and ridge regression among other concepts.

Taming Null References

Explores the challenges of null references in programming languages and proposes solutions to mitigate their drawbacks while ensuring compatibility with existing codebases.

Inheritance: Polymorphism & Casting

Covers inheritance, polymorphism, and casting in object-oriented programming, emphasizing code factorization and generic object manipulation.

Deep Visual Recognition: Interpretability

Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.