Playground

You now have every piece: weights and bias combine into a weighted sum, an activation function squashes it, stacking neurons into layers builds up complexity, a loss measures how wrong a guess is, and backpropagation repeatedly nudges every weight downhill until the loss is small. Press play below and watch all of it happen at once, thousands of times a second, on a real network you control. Your setup is saved in the URL - copy the link to share the exact configuration with someone else.

Figure 01 - Animation

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What this animation shows

A small network builds itself and pulses through a couple of activation waves, then the screen settles on the line "Now put it all together," with a call to build, train, and break a real network. This is a brief teaser rather than a new concept, a short bridge from everything the module just covered into the hands-on playground below.