#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
#IOST/USDT analysis :
#IOST has tested the support zone and has shown a bounce back. It is advisable to wait for a price retracement to enter long positions. The price is expected to maintain its bullish momentum, with potential to reach higher levels.
TF : 4H
Entry : $0.008550
Target : $0.011323
SL : $0.007050
#IOST/USDT analysis :
#IOST is currently experiencing a decline from the resistance zone following rejections in that region. It is anticipated to maintain its downward momentum and possibly test previous lows.
TF : 2H
Entry : $0.00500
Target : $0.00427
SL : $0.00542
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