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Learn how to optimize Flax NNX code for performance in this 12-minute tutorial that explores the relationship between NNX and JAX's functional programming paradigm. Discover the fundamentals of just-in-time compilation (jit), understand pure functions and their importance in JAX, and master NNX's transformation wrappers that bridge object-oriented neural network code with JAX's functional requirements. Gain practical insights into making your neural network implementations both fast and maintainable while leveraging the full power of JAX's compilation and optimization capabilities.
