#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
#GRT/USDT analysis :
#GRT has broken out of its trendline with strong momentum following a bounce back from the support zone. The price is expected to maintain its bullish momentum and test previous highs. The current level presents a favorable entry opportunity.
TF : 1W
Entry : $0.2023
Target : $0.3446 and $0.4902
SL : $0.1450
#GRT/USDT analysis :
#GRT is currently in a downtrend, making lower lows (LLs) and lower highs (LHs), and is trading below the 200 EMA. The price is facing rejection from both the 200 EMA and the resistance zone. It is expected to decline from this point and potentially test the previous swing low.
TF : 1D
Entry : $0.1682
Target : $0.1294
SL : $0.1940
💰#GRT has a falling wedge pattern on 8H Time frame, we expec it will pump alot in the case of breakout, waiting now..⌛️
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
💰#GRT bounced back from the Support zone on 12H Time frame, we are waiting for breakup and pullback to the broken trendline 💫
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️