Category：NNS
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Building Neural Networks with PyTorch
PyTorch Deep Learning in Action (3) – Building Neural Networks with PyTorch 0. Preface1. PyTorch building neural network first experience1.1 Building Neural Networks with PyTorch1.2 Neural network data loading1.3 Model testing1.4 Getting the value of the middle layer 2. Using Sequential Classes to Build Neural Networks3. Saving and loading PyTorch models3.1 Components required for model […]
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Neural Networks and Model Training Process in Detail
PyTorch Deep Learning in Action (1) – Neural Network and Model Training Process in Detail 0. Preface1. Traditional machine learning and artificial intelligence2. Basics of artificial neural networks2.1 Artificial Neural Network Composition2.2 Training of Neural Networks 3. Forward dissemination3.1 Calculating hidden layer values3.2 Perform nonlinear activation3.3 Calculating the output layer values3.4 Calculation of the value […]
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Python’s method for importing torch packages
Article Catalog preambleI. What is Pythorch?Second, how to download and import the torch package?Third, pip package manager download failure torch, the solution and the official website to download teaching1. Download failure, solution2.Official website download Fourth, why there will be the official website to download and local direct download, torch two ways?summarize preamble With the continuous […]
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The 100 Best Deep Learning Projects for Getting Started
attention (heed): Recently by the fans feedback, found that some subscribers will be the content of this column for secondary sale, hereby declare that the content of this column is for learning only, shall not be sold in any way, without the author’s permission shall not be the content of this column to exercise the […]
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A systematic and comprehensive introduction to GAN (Generative Adversarial Networks)
catalogs 0. Preparatory knowledge 1.Introduction to GAN 1.1 Introduction to the basic concepts of GANs 1.2 Basic Architecture Diagram of GAN 2. The formation process of a GAN 2.1 Training the GAN: Generative and Discriminative Networks (Optimization) An introduction to the concept of exactly how to train: An introduction to the principles of exactly how […]
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Particle Swarm Algorithm (PSO) Optimized BP Neural Network Predictive Regression – with code
catalogs Abstracts: 1.BP model neural network model 2. Particle Swarm Optimization Algorithm (PSO) pseudocode implementation 3. Particle swarm algorithm combined with BP neural network (PSO-BP) 4. Results of program operation 5. Matlab code for this paper Abstracts: BP neural network is a common multi-layer feed-forward neural network, this article through the particle swarm algorithm (PSO) […]
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Theory of Convolutional Neural Networks (CNNs)
Study period: 2022.04.10~2022.04.12 Article Catalog 3. Convolutional neural network CNN3.1 Concept of Convolutional Neural Networks3.1.1 What is a CNN?3.1.2 Why use CNNs?3.1.3 Principles of human vision 3.2 Fundamentals of CNN3.2.1 Main structures3.2.2 Convolution layer1. Convolutional operations2. Three modes of convolution3. The nature of convolution 3.2.3 Pooling layer3.2.4 Activation layer3.2.5 Rasterization3.2.6 Full connectivity layer3.2.7 Reverse propagation3.2.8 […]
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Example of constructing a neural network
Article Catalog neural network1. Import of relevant libraries2. Defining a layer3. Construction of data sets4. Defining the basic model5. Variable initialization6. Commencement of training P.S. Series of articles neural network A neural network is a bionic machine learning algorithm inspired by the nervous system of the human brain. It consists of multiple neurons (or nodes) […]