Originally from Python AI Frontiers This article systematically and comprehensively organizes the introduction and algorithm principles of various deep learning models. 1 Main Text Deep learning methods utilize neural network models for advanced pattern recognition and automatic feature extraction, achieving significant results in the field of data mining in recent years. Common models include not … Read more
“Lookalikes” have always been a big joke in the entertainment industry. If you run into Sun Nan, Yang Chenggang, Wang Daye… while buying a train ticket, face-blindness sufferers might as well give up going home and cry on the spot. Of course, “lookalikes” are not unique to the entertainment industry; there are also some “similar-looking” … Read more
Click the above“Beginner’s Guide to Vision” to choose to add Starred or “Top” Essential Knowledge Delivered First-Hand 1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can preserve the main features of a large image by reducing it to a smaller pixel image through convolutional calculations. This article … Read more
Introduction: AI, CNN Algorithm, Hilbert, Feynman, 577 What is the hottest and most well-known core mathematical algorithm of AI today? The answer is the “Convolutional Neural Network Algorithm”. Mathematics is the foundation of all science and technology, and the Convolutional Neural Network algorithm is no exception. It is the basis and core of almost all … Read more
Hello everyone, I am Peter~ Today I am sharing an article about deep learning algorithms, mainly introducing 10 deep learning algorithms such as CNN, LSTM, RNN, GAN, MLP, etc. Introduction Deep learning is a subset of machine learning, based on artificial neural networks. The learning process is considered deep because the structure of artificial neural … Read more
Author: Criss Source: Machine Learning and Generative Adversarial Networks 01 Derivative of Softmax 1.1 Derivative of Softmax Generally, the last layer of a classification model is the softmax layer. Assuming we have a classification problem, the structure of the corresponding softmax layer is shown in the figure below (it is generally considered that the output … Read more
Source: Artificial Intelligence AI Technology This article is about 6000 words long and is recommended to read in 12 minutes. This article introduces your understanding of CNN and RNN. This article mainly focuses on understanding CNN and RNN, summarizing their advantages through comparison while deepening one’s understanding of this area of knowledge. The code references … Read more
Author: Chen Zhiyan This article is about 2000 words long and is recommended to be read in 5 minutes. This article will help you understand <strong>convolutional neural networks</strong>.
Click on the above “Beginner Learning Vision”, choose to add Star or “Top” Essential insights delivered at the first moment Contents: 1. Concept of Convolutional Neural Networks 2. Characteristics of Convolutional Neural Networks 2.1 Local Region Connections 2.2 Weight Sharing 2.3 Downsampling 3. Structure of Convolutional Neural Networks 3.1 Convolutional Layer 3.2 Pooling Layer 4. … Read more
Click on the above “Beginner Learning Vision” to choose to add Starred or “Top” Heavy content delivered at the first time Author丨Li Ming Huai Jin Source｜https://zhuanlan.zhihu.com/p/80361782 Editor丨Extreme City Platform Extreme City Guide This article first defines the concept of Convolutional Neural Networks, briefly introduces several common optimization methods, and discusses the author’s experiences in this … Read more