keepseatAI HANDBOOK
Quick references

Cheat Sheets

Essential machine-learning formulas, curves, and practical references. Each cheat sheet is a standalone Marimo notebook.

01
Cheat Sheet3 topics

Activation Functions

The main activation functions, shown one by one with their formula, curve, and use case.

neural networksactivationsgradient
→02
Cheat Sheet4 topics

Deep Learning Essential Formulas

A compact map of neural-network formulas from the forward pass through backpropagation, optimization, convolution, and attention.

deep learningneural networksbackpropagationoptimization
→03
Cheat Sheet4 topics

Derivatives & Gradients

Reference sheet for basic, second, partial, and composite derivatives, with one short example per rule.

derivativesgradientchain ruleoptimization
→04
Cheat Sheet3 topics

Log Loss, Bernoulli, and Sigmoid

Essential formulas connecting Bernoulli labels, likelihood, sigmoid probabilities, and binary log loss.

loss functionsprobabilityclassification
→05
Cheat Sheet4 topics

Loss Functions

Reference sheet for regression, classification, segmentation, and metric-learning losses, with gradients and short examples.

loss functionsoptimizationregressionclassification
→