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AI From Scratch/Phase 03/Lesson 13/~90 minutes

Debugging Neural Networks

BuildPythonPyTorchNo prerequisites

Your network compiled. It ran. It produced a number. The number is wrong and nothing crashed. Welcome to the hardest kind of debugging -- the kind where there is no error message.

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Phase 03

Deep Learning Core

01The Perceptron02Multi-Layer Networks and Forward Pass03Backpropagation from Scratch04Activation Functions05Loss Functions06Optimizers07Regularization08Weight Initialization and Training Stability09Learning Rate Schedules and Warmup10Build Your Own Mini Framework11Introduction to PyTorch12Introduction to JAX13Debugging Neural Networks
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Phase 03

Deep Learning Core

01The Perceptron02Multi-Layer Networks and Forward Pass03Backpropagation from Scratch04Activation Functions05Loss Functions06Optimizers07Regularization08Weight Initialization and Training Stability09Learning Rate Schedules and Warmup10Build Your Own Mini Framework11Introduction to PyTorch12Introduction to JAX13Debugging Neural Networks

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Nn DebuggerPromptDebug ChecklistSkilldebug_neural_nets.pyCodeSource lessonSource