#neural networks

Posts tagged with neural networks.

Deep Learning Basics

Small model choices still matter

A short note on the small model details that still shape behavior when systems move into production.

March 5 20255 min read

#activation functions #ReLU #neural networks

Routing is the quiet part of AI platforms

A short note on model routing, context routing, and why production AI systems need more than one path.

May 17 20248 min read

#attention #transformers #neural networks

Deep Learning Basics

An MLP is a stack of small calculations

A patient walkthrough of multi-layer perceptrons without pretending the acronym is more important than the arithmetic.

April 4 20245 min read

#mlp #neural networks #python

Deep Learning Basics

Hidden layers are just intermediate guesses

A plain-language explanation of hidden layers, why they help, and why the word hidden makes them sound stranger than they are.

March 21 20245 min read

#hidden layers #neural networks #teaching

Deep Learning Basics

Four neurons are enough to expose the wiring

A grounded walkthrough of a small neural network where the important part is the shape of the calculation.

March 14 20245 min read

#neural networks #layers #visualization

Deep Learning Basics

A single neuron is less mysterious when you run the numbers

A slower, more practical walkthrough of weights, bias, ReLU, and the first little model worth drawing by hand.

March 7 20245 min read

#neural networks #relu #teaching