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 will cover three aspects of one-hot encoding: the principle of one-hot encoding, its classification, and its applications. One-Hot Encoding . One-Hot Encoding 1. The Principle of One-Hot Encoding Feature Digitization: Converts categorical variables (also known as discrete features, unordered features) into a format suitable for machine learning algorithms. Feature Digitization Creates a new … Read more
This article will explain the essence of pre-training principles, and applications in three aspects, helping you understand model pre-training Pre-training. Pre-training 1.Essence of Pre-training AI = Data + Algorithms + Computing Power Three Elements of AI Dataset:Data is one of the three pillars of AI and is very important in AI technology. Datasets are generally … Read more
Neural networks can refer to two types: one is biological neural networks and the other is artificial neural networks./5 @: N/ V7 @: X5 _1 X) BBiological neural networks: Generally refer to the networks composed of neurons, cells, synapses, etc. in the biological brain, used to generate biological consciousness and help organisms think and act.Artificial … Read more
This article will coverbiological neural networks, artificial neural networksandneural network trainingand classification and applications in four aspects, bringing you to understand artificial neural network ANN in one article. 1.Biological Neural Networks Basic Definition: Baidu Encyclopedia:Biological Neural Networks generally refer to the networks composed of neurons, cells, synapses, etc. in biological brains, used to generate consciousness … Read more
Source: CodeMeals cnblogs.com/fengfenggirl/p/bp_network.html Neural networks were once very popular, went through a period of decline, and are now gaining popularity again due to deep learning. There are many types of neural networks: feedforward networks, backpropagation networks, recurrent neural networks, convolutional neural networks, etc. This article introduces the basic backpropagation neural network (BP), focusing on the … Read more
This team consists of 6 students from the School of Electrical Engineering and the School of Science at Xi’an Jiaotong University (Wang Ziqiao, Li Dong, Zhao Hongfei, Wang Ning, Zhang Ranjie, Huang Ye), who have conducted a series of studies aimed at improving the calculation accuracy of the battery state of charge (SOC) in battery … Read more
This article will explain the essence of machine learning algorithms and the principles of machine learning algorithms, as well as their applications in three aspects, helping you understand machine learning algorithmsMachine Learning Algorithms。 Machine Learning AlgorithmsMachine Learning Algorithms 1. Essence of Machine Learning AlgorithmsDefinition of Machine Learning Algorithms: Machine Learning Algorithms are defined as: mathematical … Read more
1 Compiled by New Intelligence Source Author: Alberto Quesada Source: neuraldesigner.com Translated by: Liu Xiaoqin [New Intelligence Source Guide] There are thousands of algorithms for training neural networks. Which ones are the most commonly used, and which is the best? The author introduces five common algorithms in this article and compares them in terms of … Read more
Neural networks can refer to two types: one is the biological neural network, and the other is the artificial neural network. The biological neural network generally refers to the network composed of neurons, cells, and synapses in the biological brain, which is used to generate biological consciousness and assist organisms in thinking and acting. The … Read more