Pytorch

Stanford Chinese Professor: Sound Waves and Light Waves Are Actually RNNs!

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Stanford Chinese Professor: Sound Waves and Light Waves Are Actually RNNs!

Recently, the intersection of physics, mathematics, and machine learning has promoted the use of machine learning frameworks to optimize physical models, further encouraging researchers to develop many exciting new machine learning models (such as Neural ODEs, Hamiltonian Neural Networks, etc.) that draw on concepts from physics. Researchers from Stanford University’s Shanhui Fan group are particularly … Read more

Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation

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Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation

Click on the above “Visual Learning for Beginners” to choose to add a Star or “Pin” Heavyweight content delivered first-hand From | Zhihu Author | Lucas Link | https://zhuanlan.zhihu.com/p/85995376 Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation Recurrent Neural Networks (RNN) are a type of neural network with short-term memory capabilities. Specifically, the network … Read more

The Relationship Between CNN and RNN

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The Relationship Between CNN and RNN

Click the above“Beginner’s Guide to Vision” to choose to add Starred or “Top” Essential Knowledge Delivered First-Hand 1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can preserve the main features of a large image by reducing it to a smaller pixel image through convolutional calculations. This article … Read more

Introduction to RNN in DI-engine Reinforcement Learning

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Introduction to RNN in DI-engine Reinforcement Learning

1. Introduction to RNN Recurrent Neural Network (RNN) is a type of neural network used for processing sequential data. Unlike traditional feedforward neural networks, RNN introduces an “internal state” (also known as “hidden state”), which allows the network to store past information and use it to influence subsequent outputs. The updating process of this internal … Read more

Understanding the Relationship Between CNN and RNN

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Understanding the Relationship Between CNN and RNN

Source: Artificial Intelligence AI Technology This article is about 6000 words long and is recommended to read in 12 minutes. This article introduces your understanding of CNN and RNN. This article mainly focuses on understanding CNN and RNN, summarizing their advantages through comparison while deepening one’s understanding of this area of knowledge. The code references … Read more

Composition and Explanation of Convolutional Neural Network Structure

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Composition and Explanation of Convolutional Neural Network Structure

Click on the above“Learning Visuals for Beginners” to choose to addStar Mark or “Pin to Top” Important content delivered immediately The convolutional neural network is a deep network structure mainly composed of convolutional layers. The network structure includes convolutional layers, activation layers, BN layers, pooling layers, FC layers, loss layers, etc. The convolution operation is … Read more

In-Depth Analysis of Invertible Neural Networks: Making Neural Networks Lighter

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In-Depth Analysis of Invertible Neural Networks: Making Neural Networks Lighter

Source: PaperWeekly This article is about 4600 words long, and it is recommended to read it in 10 minutes. This article analyzes the reversible residual networks as the basis. Why Use Reversible Networks? Because both encoding and decoding use the same parameters, the model is lightweight. The reversible denoising network InvDN has only 4.2% of … Read more

Why Large Models Need Quantization and How to Quantize

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Why Large Models Need Quantization and How to Quantize

MLNLP community is a well-known machine learning and natural language processing community, covering both domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reproduced … Read more

In-Depth Analysis of Self-Attention from Source Code

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In-Depth Analysis of Self-Attention from Source Code

Follow the WeChat public account “ML_NLP” Set as “Starred” to receive heavy content promptly! Reprinted from | PaperWeekly ©PaperWeekly Original · Author｜Hai Chenwei School｜Master’s student at Tongji University Research Direction｜Natural Language Processing In the current NLP field, Transformer/BERT has become a fundamental application, and Self-Attention is the core part of both. Below, we attempt to … Read more

Understanding Q, K, V in Attention Mechanisms

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Understanding Q, K, V in Attention Mechanisms

MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial communities of natural … Read more