#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
#AUCTION/USDT analysis :
#AUCTION has tested the 200 EMA and rebounded from it. The price has broken out of the trendline, confirming the continuation of the bullish trend. The price is anticipated to test the swing high level.
TF : 30min
Entry : $33.35
Target : $37.30
SL : $30.98
#AUCTION/USDT analysis :
#AUCTION is in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price has recently broken out of the trendline, indicating a potential resumption of its bullish momentum. It is anticipated that the price will continue to rise and test previous highs.
TF : 30min
Entry : $20.05
Target : $21.53
SL : $19.06