#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
#FIDA/USDT analysis :
A retracement to the 200 EMA is anticipated for #FIDA. Price has broken through a trendline and a minor resistance level, successfully retesting the zone. It is expected to rebound from the current level and move upward to test higher levels.
TF : 2H
Entry : $0.1187
Target : $0.1325
SL : $0.1090
#FIDA/USDT analysis :
#FIDA has rebound from the support zone after multiple tests. The price is anticipated to continue rising and challenge previous highs.
TF : 1D
Entry : $0.2267
Target : $0.2900
SL : $0.1840
#FIDA result
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Beyond Crypto