#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
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#FLOW/USDT analysis :
#FLOW has broken out above the 200 EMA and has retraced back to it. The price is currently in a correction phase, consolidating sideways over the support zone. The price has rebounded and broken out of the trendline. Now, the price is expected to resume its bullish momentum and test higher levels.
TF : 1D
Entry : $0.798
Target : $1.271
SL : $0.620