#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
📊#ZK/USDT – MARKET STRUCTURE (1D)
ZK is currently building a base near key demand.
Price has been respecting the 0.031–0.033 zone.
⚠️ Key level to watch:
• 0.040–0.041 (range resistance)
A clean daily close above this level
could open room for a higher move.
Premium members already have trade plans mapped.
👉@futurechief
📊#ZK/USDT – MARKET STRUCTURE (1D)
ZK is currently building a base near key demand.
Price has been respecting the 0.031–0.033 zone.
⚠️ Key level to watch:
• 0.040–0.041 (range resistance)
A clean daily close above this level
could open room for a higher move.
Premium members already have trade plans mapped.
👉@primemod
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