Activation Functions

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

The Most Comprehensive Guide to PyTorch Dynamic Graphs

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The Most Comprehensive Guide to PyTorch Dynamic Graphs

Follow the official account “ML_NLP“ and set it as a “Starred“, delivering heavy content to you at the first time! Author丨Gemfield@@ZhihuSource丨https://zhuanlan.zhihu.com/p/61765561、https://zhuanlan.zhihu.com/p/65822256Editor丨Jishi PlatformThis article is for academic sharing only, and copyright belongs to the author. If there is any infringement, please contact the backend for deletion.PyTorch Dynamic Graph (Part 1) Background The dynamic graph framework of … Read more

Understanding 26 Neural Network Activation Functions Through Graphs

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Understanding 26 Neural Network Activation Functions Through Graphs

Click the above “Beginner’s Visual Learning” to select to add Star Mark or “Pin” Essential content delivered in real-time In this article, the author visualizes 26 activation functions including ReLU and Sigmoid, along with relevant properties of neural networks, providing a great resource for understanding activation functions. In neural networks, the activation function determines the … Read more

Overview of Neural Network Activation Functions: From ReLU to GELU

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Overview of Neural Network Activation Functions: From ReLU to GELU

Selected from | mlfromscratch Author | Casper Hansen Source | 机器之心 Contributors | 熊猫、杜伟 The importance of activation functions in neural networks is self-evident. Casper Hansen from the Technical University of Denmark introduces the sigmoid, ReLU, ELU, and the newer Leaky ReLU, SELU, and GELU activation functions through formulas, charts, and code experiments, comparing their … Read more

Understanding Forward and Backward Propagation in Neural Networks

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Understanding Forward and Backward Propagation in Neural Networks

Click the blue text to follow us for more knowledge sharing. 01 Forward Propagation To explain the forward propagation of neural networks, we will use a simple fully connected three-layer neural network as shown in the figure below: The neural network consists of layers of neurons (one column is considered a layer of the neural … Read more

In-Depth! Illustrated Mathematical Principles of Neural Networks

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In-Depth! Illustrated Mathematical Principles of Neural Networks

Source: Algorithm Advancement This article is about 3000 words long and is recommended to be read in 8 minutes. This article will help everyone understand some concepts that may be confusing during the learning process. Nowadays, after becoming proficient in using specialized frameworks and high-level libraries like Keras、TensorFlow or PyTorch , we no longer have … Read more

6 Useful CSS Functions Every Web Developer Should Know

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6 Useful CSS Functions Every Web Developer Should Know

English | https://javascript.plainenglish.io/6-useful-css-functions-every-web-developer-should-know-4be9ad59183f Translation | Yang Xiaoa CSS is an essential stylesheet language for every web developer. It allows us to set the styles of web pages and make them responsive. Additionally, with new CSS features like flexbox and grid, we can easily create complex layouts for our web pages. Just like any other language, … Read more

In-Depth Summary of 27 Common Deep Learning Questions

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In-Depth Summary of 27 Common Deep Learning Questions

Follow our WeChat public account “ML_NLP“ Set it as “Starred“, delivering heavy content as soon as possible! Source | https://github.com/scutan90/DeepLearning-500-questions/blob/master/ch03_%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/%E7%AC%AC%E4%B8%89%E7%AB%A0_%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80.md Organizer | dilligencer https://zhuanlan.zhihu.com/p/105476748 This article is for interview experience sharing only and not for commercial use. If there is any infringement, please contact for deletion. 1. Why is it difficult to train deep neural … Read more

DeepSeek User Guide: The AI That Understands Chinese Parents

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DeepSeek User Guide: The AI That Understands Chinese Parents

During the Spring Festival, DeepSeek took social media and major news websites by storm. Compared to ChatGPT, DeepSeek’s training data is more focused on Chinese content, making its understanding and generation of Chinese language more in line with the expression habits of Chinese people, making it easier for parents and children to use. After several … Read more

Understanding the MsgBox Function in VB Programming

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Understanding the MsgBox Function in VB Programming

MsgBox() Function MsgBox() function: A function in VB; Function: Can create a pop-up window. Purpose: Displays a message in a dialog box, waits for the user to click a button, and returns an Integer value indicating which button was clicked. Syntax: MsgBox(prompt[, buttons] [, title] [, helpfile, context]) Parameter Description: The syntax of the MsgBox … Read more