Backpropagation Quiz

Master forward passes, chain rule, gradients, activation derivatives, weight updates, optimization, and debugging through interactive backpropagation questions, calculations, explanations, and reports for every level.

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140 questions are available across core backpropagation topics.

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Scoring: one point per correct answer. Optional negative marking deducts 0.25 points for each incorrect answer.

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Topic	Correct	Attempted	Accuracy	Recommendation

Answer review

Concept	Formula
Gradient descent	θ_new = θ − η∇θL
Chain rule	dL/dx = (dL/dy)(dy/dx)
Sigmoid derivative	σ′(z) = σ(z)(1 − σ(z))
Tanh derivative	tanh′(z) = 1 − tanh²(z)
ReLU derivative	0 for z<0; 1 for z>0
Squared-error derivative	For L=½(ŷ−y)², ∂L/∂ŷ=ŷ−y
Softmax cross-entropy	∂L/∂z = p − y
Dense-layer weights	dW = XᵀdZ
Dense-layer inputs	dX = dZWᵀ
Centered gradient check	[f(θ+h)−f(θ−h)]/(2h)

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ID	Question	Topic	Difficulty	Type