Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
Abstract: Implementing deep learning models in hardware is important for expanding their range of applications to edge environments. However, the softmax function, which is widely used in deep ...
Abstract: In recent years, with the rapid development of deep learning technology, the Transformer model shows superior performance and is widely used in many fields such as natural language ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Background: Attention-Deficit/Hyperctivity Disorder (ADHD) is characterized by core symptoms of inattention, hyperactivity, and impulsivity that fluctuate dynamically ...
In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded ...
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