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CoursesCertificationsLabs
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CoursesCertificationsLabs
ML practiceStep 10 of 12

Neural networks and backprop

Layers, activations and backpropagation, written out by hand.

Start 6 problems

Problems

  1. 1Forward pass of a two-layer networkEasy · 10 min · 10 hidden testsSolution free
  2. 2Softmax that never overflowsEasy · 8 min · 11 hidden tests
  3. 3Mean cross-entropy for a batchMedium · 14 min · 10 hidden tests
  4. 4Inverted dropout, training and evalEasy · 8 min · 11 hidden tests
  5. 5Xavier and He initialization scalesEasy · 7 min · 9 hidden tests
  6. 6Backprop through a two-layer ReLU networkHard · 25 min · 10 hidden tests

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PyTorch in 45 MinutesA PyTorch Training Loop From Scratch

Where interviews test it

Cases from our interview prep that lean on this step.

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