#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
Matter exists in different states:
● Solid – fixed shape and volume, particles tightly packed.
● Liquid – fixed volume, no fixed shape, particles slide past each other.
● Gas – no fixed shape or volume, particles far apart.
● Plasma – like gas but particles are charged.
● Glass – between solid and liquid, amorphous.
● Superfluid – liquid with no resistance near absolute zero.
● Bose-Einstein Condensate – particles act as one quantum entity.
● Fermionic Condensate – similar to Bose-Einstein but formed by fermions.
● Dropleton – quantum liquid of electrons and holes.
● Degenerate Matter – exists under extreme pressure inside stars or planets.
Matter changes state when energy is added or removed.
[Source]
https://t.me/googlefactss
@googlefactss🔬🌡️#Science#Matter#Physics#Education