#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
#ICP/USDT analysis :
#ICP is currently developing a symmetrical triangle pattern on the higher time frame (HTF). A breakout above the resistance level of $10.230 is anticipated, which could signal the continuation of a bullish rally. For a confirmed entry, it is advisable to wait for the price to surpass this resistance level.
TF : 1W
Entry : $10.230
Target : $20.500
SL : $7.760
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