MIT HAN Lab
Basics of Neural Networks - Lecture 2
Explore neural network fundamentals, including architecture, training, and optimization techniques for efficient machine learning model development.
YouTube1 hour 12 minutesSelf-pacedFree video
ChemicalQDevice
How to Select the Correct QML Loss Function and Optimizer
Explore loss functions and optimizers for quantum machine learning libraries. Learn to choose optimal parameters for accurate predictions and efficient model convergence in QML applications.
YouTube1 hour 8 minutesSelf-pacedFree video
MITCBMM
Towards Understanding Deep Classifiers Through Neural Collapse
Explore neural collapse in deep classifiers, examining its impact on model behavior and performance. Gain insights into this phenomenon's role in understanding and improving deep learning systems.
YouTube1 hour 5 minutesSelf-pacedFree video