Some Visualization Methods for CNNs

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Some Visualization Methods for CNNs

Click on 'Xiaobai Learns Vision' above, select 'Star' or 'Top' to receive important content first. Author | yishun@Zhihu Source丨https://zhuanlan.zhihu.com/p/53683453 Editor | Jishi Platform Introduction Visual analysis of neural networks is significant for both learning and practical applications. Based on this, this article introduces three visualization methods for CNNs: visualizing intermediate feature maps, visualizing convolutional kernels, … Read more

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

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HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, especially for the … Read more

Introduction to Quantitative Trading Using CNN Neural Networks

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Introduction to Quantitative Trading Using CNN Neural Networks

Using machine learning for investment has always been a popular subject. In recent years, deep learning models have attracted a lot of attention, especially in the field of computer vision. Therefore, the paper introduced here provides a brand new approach by using the currently hottest computer vision neural network: Convolutional Neural Network (CNN) to predict … Read more

Building CNN Networks Using Object-Oriented Programming | PyTorch Series (13)

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Building CNN Networks Using Object-Oriented Programming | PyTorch Series (13)

Click on the above “Beginner Learning Visuals”, choose to add “Star” or “Top” Heavyweight content delivered first time From a high-level perspective of our deep learning project, we have prepared the data, and now we are ready to build our model. Prepare Data Build Model Train Model Analyze Model Results When we refer to the … Read more

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

Visualizing CNNs and Feature Maps

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Visualizing CNNs and Feature Maps

Click on the above“Beginner Learning Vision” to selectStar or “Top” Important Content, Delivered First Time Convolutional Neural Networks (CNNs) are a type of neural network commonly used for image classification, object detection, and other computer vision tasks. One of the key components of CNNs is the feature map, which is a representation of the input … Read more