MDSection 4 of 38 · 12 subtopics
Neural Networks
From a single neuron to multi-layer networks. Forward pass, backpropagation, and optimizers.
Learning path
Work through each subtopic in order. Click any file below to open its lesson. Track your progress with the checkbox at the bottom.
Subtopics
Each subtopic includes a concise explanation, code examples, and references.
01
Perceptron
2D classification canvas.
perceptron
02
Neuron
Single-neuron calculator.
neuron
03
Weights
Network connection visualization.
weights
04
Bias
Decision-boundary visualizer.
bias
05
Activation Functions
Function comparison graph.
activation-functions
06
Forward Propagation
Animated neural network.
forward-propagation
07
Cross Entropy
Probability/loss visualization.
cross-entropy
08
Backpropagation
Reverse-flow network animation.
backpropagation
09
SGD
Optimization trajectory.
sgd
10
Adam / AdamW
Optimizer comparison.
adam-adamw
11
Batch
Dataset batching animation.
batch
12
Epoch
Dataset-pass timeline.
epoch