Welcome.
I post some notes and simulations here.
Gradient descent: learning rate is everything
A one-parameter playground for the algorithm that trains every neural network, and a feel for when it diverges.
Riemann sums, and what 'area under the curve' really means
Building the definite integral from rectangles, and why midpoint sums converge so much faster.