Deep Learning

CFGAN: A Collaborative Filtering Framework Based on Generative Adversarial Networks

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CFGAN: A Collaborative Filtering Framework Based on Generative Adversarial Networks

“ This article introduces the application of a Generative Adversarial Network in the recommendation field, namely CFGAN, along with its principles, potential issues, and solutions, and provides a code implementation and examples of running on public datasets.” Author Introduction: Zhang Xuxin, a master’s student at Huazhong University of Science and Technology, mainly researches data attack … Read more

Hands-On With Generative Adversarial Networks (GANs)

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Hands-On With Generative Adversarial Networks (GANs)

At the request of our backend team, this issue shares the practical implementation of Generative Adversarial Networks (GANs) using MATLAB. The content mainly includes a brief introduction to GAN and its classic variants, along with relevant code examples. If you want to learn more about deep learning, feel free to message me on the backend … Read more

Top 10 Must-Read Papers on Generative Adversarial Networks (GANs)

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Top 10 Must-Read Papers on Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs) are one of the most interesting and popular applications in deep learning. This article lists 10 papers on GANs that will provide you with a great introduction to GANs and help you understand the foundations of state-of-the-art techniques. The 10 selected GAN papers include: DCGANs Improved Techniques for Training GANs Conditional … Read more

An Overview of Image Data Generation Technology Based on GAN Networks

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An Overview of Image Data Generation Technology Based on GAN Networks

Labs Introduction The generation of image data has always been a challenging task in the field of computer vision. Traditional methods for generating image data are usually based on mathematical models, making it difficult to create realistic images. With the emergence of deep neural networks and large-scale datasets, significant progress has been made in image … Read more

Differences Between CNN, RNN, and DNN Network Structures

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Differences Between CNN, RNN, and DNN Network Structures

CNN: Convolutional Neural Network – Convolutional Neural Network RNN: Recurrent Neural Network – Recurrent Neural Network DNN: Deep Neural Networks – Deep Neural Networks First, let’s talk about DNN. Structurally, it is similar to traditional NN (Neural Networks), but the development of neural networks encountered some bottleneck issues. Initially, neurons could not represent the XOR … Read more

In-Depth Analysis of Convolutional Neural Networks (CNN)

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In-Depth Analysis of Convolutional Neural Networks (CNN)

This article summarizes some basic concepts of Convolutional Neural Networks (CNN) and provides a detailed explanation of the principles behind them. Through this article, you can gain a comprehensive understanding of Convolutional Neural Networks (CNN), which is very suitable as an introductory learning resource for deep learning. Before we dive into the explanation, I have … Read more

How to Implement Convolutional Neural Network (CNN) in Python

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How to Implement Convolutional Neural Network (CNN) in Python

Introduction to CNN (Convolutional Neural Network) A convolutional neural network is a deep learning algorithm specifically designed for processing images and videos. It takes images as input, extracts and learns features from the images, and classifies them based on the learned features. The inspiration for this algorithm comes from a part of the human brain, … Read more

Understanding Convolutional Neural Networks (CNN)

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Understanding Convolutional Neural Networks (CNN)

What is a Convolutional Neural Network (CNN)? CNN is a model structure method in deep learning, typically composed of an input layer, convolutional layers, pooling layers, fully connected layers, and an output layer. The core is to extract local features of the data through convolution operations, learning higher-level abstract representations layer by layer. It is … Read more

Overview of Convolutional Neural Networks in Artificial Intelligence

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Overview of Convolutional Neural Networks in Artificial Intelligence

Introduction Convolutional Neural Networks (CNN) are one of the most important and widely used models in the field of deep learning. Since their introduction in the 1980s, CNNs have achieved significant success in areas such as image processing, computer vision, and natural language processing. This article aims to review the basic principles, development history, main … Read more

Implementing CNN From Scratch: A Detailed Explanation of Convolutional Networks’ Mathematical Essence

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Implementing CNN From Scratch: A Detailed Explanation of Convolutional Networks' Mathematical Essence

| Full text is 4175 words, estimated reading time is 4 minutes | This article is authorized to be reprinted by Machine Heart (WeChat public account: almosthuman2014), and secondary reprinting is prohibited. Excerpted from: arXiv Translation: Machine Heart Contributors: Huang Xiaotian, Lu Xue, Jiang Siyuan Recently, researchers from Nanyang Technological University published a paper describing … Read more