#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
#MLN/USDT analysis :
#MLN is currently in a downtrend, characterized by a series of lower lows (LLs) and lower highs (LHs). The price is presently trading within a resistance zone, where it is anticipated to encounter resistance. As a result, a decline is expected from this level, with the price likely to test lower levels in the near future.
TF : 4H
Entry : $18.60
Target : $16.37
SL : $19.75