1 Algorithm Introduction From the name, we can see that the BP neural network can be divided into two parts: bp and neural network. Here, bp is the abbreviation for Back Propagation, which means reverse propagation. The BP network can learn and store a large number of input-output mapping relationships without needing to reveal the … Read more
This article will explain the essence of Back Propagation, its principles, and provide examples to help you understand Back Propagation in one read. Back Propagation 1. The Essence of Back Propagation Forward Propagation: Forward propagation is the process by which a neural network transforms input data into prediction results through its hierarchical structure and parameters, … Read more
This article is a note from Andrew Ng’s DeepLearning.ai course, covering the content of neural networks. The previous part can be found in[Simple Explanation of Neural Networks Part One] 4Activation Function When building a neural network, one important question to consider is which activation function to use for each independent layer. In logistic regression, the … Read more