#jupyter_notebook#jax
Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly.
https://github.com/google/flax
🪐 Astronomers used an exploding star, supernova SN 1987A in the Large Magellanic Cloud (about 168,000 light-years away), to precisely measure the speed of light across vast space. Light and ghostly particles called neutrinos from the explosion reached Earth just hours apart, providing real proof that even over intergalactic distances, light always travels at the same constant speed—299,792 kilometers per second. ✨
#speedoflight⚡#supernova⚡#LargeMagellanicCloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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🪐 In the Tarantula Nebula of the Large Magellanic Cloud, light from young, massive stars races outward at the universal speed limit—299,792 kilometers per second—helping illuminate vast clouds of gas across 1,000 light-years of space. Because nothing can travel faster than this speed in a vacuum, the glow we see from such stellar nurseries is always an echo from the past, showing us cosmic events exactly as they unfolded years, decades, or even millennia ago. ✨
#speedoflight⚡#tarantulanebula⚡#largemagellaniccloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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