#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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#FLUX/USDT analysis :
#FLUX is currently in a downtrend, forming lower lows (LLs) and lower highs (LHs) below the 200 EMA. The price is rejecting from the resistance zone and is expected to decline further, maintaining its bearish momentum and potentially testing lower levels. Wait for pullback for short entry.
TF : 4h
Entry : $0.5124
Target : $0.4521
SL : $0.5531
#FLUX/USDT analysis :
#FLUX has recently rebounded from the support zone. It is anticipated to keep rising and test the resistance zone on the lower time frame (LTF).
TF : 1h
Entry : $0.5469
Target : $0.5847
SL : $0.5207