Deep Learning

Implementing Convolutional Neural Networks in C++ from Scratch

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Implementing Convolutional Neural Networks in C++ from Scratch

Madio.net Mathematics China Reprinted from:Author丨Mountain and Water You and Me @ Zhihu Source丨https://zhuanlan.zhihu.com/p/468100301 Editor丨Extreme City Platform Currently, building a Convolutional Neural Network (CNN) is generally done directly using deep learning frameworks such as Pytorch or Tensorflow, which is quite simple. However, if you’re writing the backpropagation process from scratch, it is much more complicated than … Read more

Derivation of Backpropagation Algorithm in Convolutional Neural Networks (CNN)

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Derivation of Backpropagation Algorithm in Convolutional Neural Networks (CNN)

Author: Nan Ke Yi Meng Ning Chen Lun @ Zhihu (Authorized) Editor: Jishi Platform Source: https://zhuanlan.zhihu.com/p/61898234 The mathematical derivation of backpropagation in multilayer perceptrons is mainly represented using mathematical formulas. In fully connected neural networks, these are not complicated, and even purely mathematical formulas are relatively easy to understand.However, convolutional neural networks are relatively more … Read more

Training Convolutional Neural Networks (CNN) From Scratch Using Data Augmentation

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Training Convolutional Neural Networks (CNN) From Scratch Using Data Augmentation

Click on "XiaoBai Learns Vision" above, choose to add "Star" or "Top" Heavy content delivered at the first time Introduction This article aims to address overfitting in neural networks. Overfitting will be your main concern as you train the model with only 2000 data samples.There are some methods to help overcome overfitting, namely dropout and … Read more

Understanding CNNs from the Frequency Domain Perspective

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Understanding CNNs from the Frequency Domain Perspective

Click on the above “Beginner’s Guide to Vision“, choose to add “Star Mark” or “Pinned“ Important insights delivered promptly For academic sharing only, does not represent the stance of this public account. Contact us for removal in case of infringement. Reprinted from: This article is compiled from Zhihu Q&A. Infringement will be removed. Editor丨Jishi Platform … Read more

An Overview of Convolutional Neural Networks and Analysis of ImageNet Champion Models

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An Overview of Convolutional Neural Networks and Analysis of ImageNet Champion Models

Source: Big Data Talk Author: Huang Wenjian This article is 11200 words long and is recommended to be read in 15 minutes. This article explains some principles of convolutional neural networks (CNN) in deep learning and some classic network architectures. Overview of Convolutional Neural Network Principles Convolutional Neural Networks (CNN) were originally designed to solve … Read more

Research Progress on the Application of Convolutional Neural Networks in Oral Diseases

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Lu Yang, Zhou Mengyuan, Xiao Can Author Unit: Department of Stomatology, The First Affiliated Hospital of Soochow University Source: Chinese Journal of Clinical New Medicine, 2024, 17(7): 828-831. [Abstract] Convolutional Neural Networks (CNN) have shown remarkable performance in the field of image recognition, and as a representative method of artificial intelligence, they have garnered widespread … Read more

15 Questions About Convolutional Neural Networks and Biological Visual Systems

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15 Questions About Convolutional Neural Networks and Biological Visual Systems

The early development of CNNs drew a lot of inspiration from the brain’s neural networks, and now some ideas and methods in related research are helping neuroscience, such as DeepMind’s recent work using AI to explore brain navigation and dopamine functions. Recently, Grace Lindsay, a PhD in Neurobiology and Behavior from Columbia University, published a … Read more

Plug-and-Play! 11 Common Plugins in CNN Network Design

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Plug-and-Play! 11 Common Plugins in CNN Network Design

Click on the above“Beginner Learning Vision”, select to add“Starred” or “Top” Heavy content delivered first Introduction The so-called “plugin” is something that can add value, is easy to implement, and truly plug-and-play. The “plugins” listed in this article can enhance the deformation capabilities of CNNs like translation, rotation, scale, etc., or multi-scale feature extraction, and … Read more

Strong Recommendation | Overview of Convolutional Neural Networks: From Basic Techniques to Research Prospects

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Strong Recommendation | Overview of Convolutional Neural Networks: From Basic Techniques to Research Prospects

Click the above “Beginner Learning Vision“, choose to add “Starred” or “Pinned“ Heavyweight content delivered at the first time Convolutional Neural Networks (CNNs) have achieved unprecedented success in the field of computer vision, but we currently do not have a comprehensive understanding of the reasons for their remarkable effectiveness. In March 2018, Isma Hadji and … Read more

Introduction to Convolutional Neural Networks

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Introduction to Convolutional Neural Networks

The Beauty of Mathematical Algorithms Date：August 28, 2019 Word Count：2400words, 11images Estimated Reading Time：7minutes Source：Machine Heart This article is selected from Medium, mainly introducing convolutional neural networks in neural networks, suitable for beginners to read. Overview Deep learning and artificial intelligence were buzzwords in 2016; in 2017, these two terms became even more popular, but … Read more