Why JAX and Flax NNX?

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NumPy & JAX NumPy (Part 1)
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Getting started with MNIST
Опубликовано 4 декабря 2025, 5:00
We'll explore the strengths of JAX and Flax NNX, a powerful combination for tackling complex computational challenges. We’ll see how JAX provides a high-performance foundation using function transformations and modern hardware, and how Flax NNX offers a user-friendly way to build neural networks on top of JAX, making this an ideal combination for advanced AI, machine learning, and scientific computing.

Resources:
Learn more → goo.gle/learning-jax

Subscribe to Google for Developers → goo.gle/developers

Speaker: Robert Crowe
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