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AI From Scratch/Phase 03/Lesson 12/~90 minutes

Introduction to JAX

BuildPythonNo prerequisites

PyTorch mutates tensors. TensorFlow builds graphs. JAX compiles pure functions. That last one changes how you think about deep learning.

Back to phaseDeep Learning CoreNext lessonDebugging Neural Networks

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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JAX OptimizerPromptJAX PatternsSkilljax_intro.pyCodeSource lessonSource