#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm
MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient.
https://github.com/alibaba/MNN
#BAKE/USDT analysis :
#BAKE is currently retracing towards the 200 EMA. The price is expected to retest this moving average before continuing its bearish momentum. The current level presents a favorable opportunity for a long entry.
TF : 2h
Entry : $0.1507
Target : $0.1700
SL : $0.1414
#BAKE/USDT analysis :
The price is in an uptrend, forming higher highs (HHs) and higher lows (HLs) above the 200-period exponential moving average (200 EMA). The price is expected to bounce back from this level and continue its bullish momentum, aiming to test the previous swing high.
TF : 1h
Entry : $0.2783
Target : $0.2929
SL : $0.2705