Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.
Covers exercises on radiochemistry, including mass loss calculations and decay processes of various isotopes, with practical applications in medical treatments.
Explores symmetries in particle physics, covering parity, charge conjugation, fermion quantum numbers, chirality, and their applications in understanding particle interactions.
