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Bibliothek/Computer Science/Linear Algebra

Linear Algebra animation videos

Browse curated Linear Algebra animation examples in Computer Science, including reusable Manim scenes, visual proofs, and teaching-ready ideas.

Computer Science · 3 Animationen

Backpropagation — Gradient Flow

Backpropagation — Gradient Flow

Demonstrates backpropagation in a 3-layer neural network. A forward pass first computes activations left to right, then a loss is computed. Gradients flow backward through the network as a glowing wave, with the chain rule applied at each layer. The key partial derivative formula is displayed.

Neural Network Forward Pass

Neural Network Forward Pass

Visualizes a forward pass through a [3, 4, 4, 2] neural network. Input activations propagate layer by layer through weighted connections, showing the weighted sum computation and activation function at each layer. The output layer applies softmax. Active neurons glow to indicate high activation values.

Transformer Self-Attention

Transformer Self-Attention

Visualizes the scaled dot-product self-attention mechanism in a Transformer. Input tokens are projected to Q, K, V matrices, attention scores are computed via Q×K^T dot products shown as a heatmap, softmax is applied, and the output is computed as a weighted sum with V. The full attention formula is displayed.

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