Chaw Thiri San·Mar 7Why is non-linearity important in neural networks and activation functions 101?Activation functions are mathematical equations applied to a neuron’s output to introduce non-linearity.A response icon1A response icon1
Nick Williams·Nov 20, 2025The Illusion Of LinearityVirtual space is always positive, it is inevitably positive. It can’t be otherwise — anything that is planned, anything that is specified…
Avinash Mishra·Oct 8, 2025Why Linear Regression Isn’t Truly Linear (And What Nachiketa Can Teach Us!)Nachiketa and the Mystery of Linearity
Nick Williams·Aug 30, 2025The Deficit SituationWhen we live in ‘the Box’ — the box of our thoughts, the box of what we have automatically assumed to be true — then we’ll never come…
TFSX·Jul 17, 2025The Conniving MachineAs a child, I was always drawn to the fantastical, the mysterious, the strange, and the magical. I also learned to love reading at an early…
Nick Williams·Jan 6, 2025Virtual JourneysLinearity is simply a trick or gimmick, nothing more — it’s a trivial affair, not a profound one. Having said this, we still have to…
Tilak Mudgal·Nov 30, 2024How to Handle Linearity Violations of Linear Regression AssumptionsEven though linear regression is simple and powerful, its effectiveness relies on meeting key assumptions. When the Linearity assumptions…
InTDS ArchivebyManuel Brenner·Oct 28, 2024A Guide To Linearity and Nonlinearity in Machine Learning…and their roles in decision boundaries, embeddings, dynamical systems, and next-gen LLMsA response icon7A response icon7
Pransh·Jul 18, 2024In Defence of Not Deleting Your Exes Photographs: Why Past is Always EvolutionaryPast present in Present memories is as important as current Present in Future memories. It is a mere understatement to write that memories…
