#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
#REQ/USDT analysis :
#REQ is currently encountering resistance at the resistance zone. The price is likely to experience a rejection from this level and continue its bearish momentum. Previous low is expected to be tested. Wait for price retracement for entry.
TF : 15min
Entry : $0.0963
Target : $0.0928
SL : $0.0985