#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
#ELF/USDT analysis :
#ELF is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). Following an impulsive move, the price has retraced to the 200 EMA and a key support zone. It is anticipated that the price will rebound from this level and resume its bullish momentum, aiming to test the previous swing high.
TF : 1D
Entry : $0.4500
Target : $0.8400
SL : $0.3550
#ELF/USDT analysis :
#ELF is currently consolidating above the previously respected support zone. The price is expected to bounce back from this level and continue its bullish rally, potentially testing previous highs.
TF : 1W
Entry : $0.4124
Target : $0.7853
SL : $0.3060