#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
#SHIB/USDT analysis :
The price of #SHIB has recently broken out of its trendline, indicating a potential bullish momentum. While a retracement to the 200 EMA is expected, the overall sentiment suggests that the price is likely to move upwards and test the swing high level.
TF : 4h
Entry : $0.00001480
Target : $0.00001734
SL : $0.00001313
#SHIB/USDT analysis :
#SHIB has successfully broken out of the trendline, demonstrating a strong bullish movement. It is anticipated that this upward momentum will continue, allowing the price to test higher levels.
TF : 1D
Entry : $0.00002536
Target : $0.00004567
SL : $0.00001827
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