Understanding Back Propagation in Neural Networks

Understanding Back Propagation in Neural Networks

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

Simple Explanation of Neural Networks

Simple Explanation of Neural Networks

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