Neural Network Optimization

Yann delves into the concept of optimization within neural networks, explaining how minimizing energy functions can be applied to various forms of reasoning, including combinatorial optimization and planning trajectories for robots and rockets. He uncovers the roots of backpropagation in optimal control theory, shedding light on its early adoption in machine learning.