#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
#FTM/USDT analysis :
#FTM is currently in a bullish trend, characterized by higher highs and higher lows, with consistent support along the trendline. The price is expected to rebound from its current level and test previous highs. A breakout above the $0.8800 level would present an optimal entry point for further upward movement.
TF : 1D
Entry : $0.8800
Target : $1.4000
SL : $0.6550
#FTM/USDT analysis :
#FTM is currently consolidating sideways within the support and resistance zone. The price is bouncing back from the support zone and is anticipated to sustain its momentum and test the previous swing high within the resistance zone.
TF : 30min
Entry : $0.4193
Target : $0.4314
SL : $0.4127
#FTM +%70 🤑🤑
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