Browsing: Activation Function

The softmax activation function is a crucial component in neural networks for classification tasks. It converts raw output scores into probabilities, making it useful…

This article discusses the application of the BP neural network algorithm in recommendation systems. It explains the design idea of the algorithm, which involves…

This article provides an overview of key terms related to Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), Natural Language Understanding (NLU), and…

This blog explores a new approach to improving the explainability and transparency of neural networks. It shows that an equivalent decision tree can directly…

Artificial Intelligence and machine learning have come a long way since their inception in the late 1950s. This article explains the main differences between…

Rectified Linear Unit (ReLU) is a nonlinear activation function used in deep learning. It maps negative values to zero and returns positive values, making…

This article explains the importance of non-linear activation functions, such as ReLU, in neural networks and deep learning. Activation functions allow neural networks to…