Deep Learning Foundations: Gradient Descent, Multilayer Backpropagation Calculus & Loss Optimization
A rigorous, mathematical and architectural deep dive into artificial neural networks, multivariable vector calculus, gradient descent dynamics, backpropagation derivations, and interactive loss landscape optimization.