🧠 Thinkers · Ages 15–18

Inside Neural Networks

Open up a 3D neural network, roll down a loss landscape with gradient descent, build convolution filters, diagnose overfitting and investigate bias in data.

📚 5 lessons 70 min 450 XP

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Lessons

1🧠From neurons to networksStack neurons into layers and watch a real network think in 3D.⏱ 14 min✨ 90 XP
2⛰️Learning = going downhillLoss, gradients, learning rate and backpropagation, explored in 3D.⏱ 15 min✨ 90 XP
3🔍How computers seePixels, filters and convolutional networks.⏱ 14 min✨ 90 XP
4📈Overfitting and generalizationFind the sweet spot between too simple and too complex.⏱ 13 min✨ 90 XP
5⚖️Bias and fairnessWhen AI learns our world's imbalances, and what we can do about it.⏱ 14 min✨ 90 XP