Pytorch

Implementing Attention Mechanism for Medical Image Segmentation in PyTorch

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Implementing Attention Mechanism for Medical Image Segmentation in PyTorch

Click the above“Beginner Learning Vision” to choose to addStar or “Top” Heavyweight content delivered first time Author: Léo Fillioux Translated by: ronghuaiyang Introduction This article analyzes two recent papers using attention mechanisms for segmentation and provides a simple implementation in PyTorch. Starting from natural language processing to the recent tasks in computer vision, the attention … Read more

Summary of Attention in Deep Learning

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Summary of Attention in Deep Learning

Follow the WeChat public account “ML_NLP“ and set it as a “starred“, for heavy content delivered first-hand! Reprinted from | GiantPandaCV [GiantPandaCV Introduction] In recent years, Attention-based methods have gained popularity in academia and industry due to their interpretability and effectiveness. However, the network structures proposed in papers are often embedded in code frameworks for … Read more

Detailed Explanation of ViT Model and PyTorch Implementation

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Detailed Explanation of ViT Model and PyTorch Implementation

Introduction Using PyTorch to implement the ViT model code from scratch, training the ViT model on the CIFAR-10 dataset for image classification. Architecture of ViT The architecture of ViT is inspired by BERT, which is an encoder-only transformer model typically used for supervised learning tasks in NLP such as text classification or named entity recognition. … Read more

Analysis of Mamba: A New Architecture Challenging Transformers and Pytorch Implementation

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Analysis of Mamba: A New Architecture Challenging Transformers and Pytorch Implementation

Click the "Little White Learns Vision" above, select "Star" or "Top" Heavyweight content delivered in real-time Today we will study the paper “Mamba: Linear Time Series Modeling with Selective State Space” in detail. Mamba has been making waves in the AI community, touted as a potential competitor to Transformers. What exactly makes Mamba stand out … Read more

Introduction to Attention Mechanisms in Transformer Models and PyTorch Implementation

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Introduction to Attention Mechanisms in Transformer Models and PyTorch Implementation

These mechanisms are core components of large language models (LLMs) like GPT-4 and Llama. By understanding these attention mechanisms, we can better grasp how these models work and their application potential.We will not only discuss theoretical concepts but also implement these attention mechanisms from scratch using Python and PyTorch. Through practical coding, we can gain … Read more

Beginner’s Guide to Machine/Deep Learning

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Beginner's Guide to Machine/Deep Learning

Click the above “Beginner’s Visual Learning” to choose to add “Starred” or “Pinned“. Heavyweight content delivered to you first Author: Song Gu Source: Zhihu Link: https://zhuanlan.zhihu.com/p/33194897 Editor: Wang Meng (Deep Learning Go Go Go public account) Copyright belongs to the author, this article is for academic sharing only. If there is any infringement, please contact … Read more

Practical Deep Learning with Climate Data

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The topic of deep learning seems to have lost its previous popularity. Thanks to the myriad tutorials available online, anyone can talk about deep learning for five minutes. But has the threshold for deep learning dropped to the level of statistical methods like EOF decomposition? On one hand, deep learning is overly touted as a … Read more

A First-Person Perspective on Deep Learning Frameworks

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A First-Person Perspective on Deep Learning Frameworks

Click the above “Beginner’s Visual Learning” and choose to add “Star” or “Top“. Heavyweight content delivered in real time Author | Peter Pan Xin Source | Xixiaoyao’s Cute Store I have been dealing with deep learning frameworks for many years. From Google’s TensorFlow to Baidu’s PaddlePaddle, and now Tencent’s Wuliang. I am fortunate to have … Read more

Deep Learning Frameworks to Get You Started

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Deep Learning Frameworks to Get You Started

Author: Chen ZhiyanThis article is about 3500 words, and it is recommended to read in 5 minutes This article introduces several very useful deep learning frameworks, their advantages and applications. By comparing each framework, developers can learn how to selectively use them to efficiently and quickly complete project tasks. For beginners in data science, using … Read more

Understanding PyTorch Memory Management Mechanism

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Understanding PyTorch Memory Management Mechanism

Source: Data STUDIO This article is approximately 3600 words, recommended reading time is 9 minutes. Why does the error message indicate enough memory, yet still encounter OOM? What is the multi-level allocation mechanism of memory? Why is it designed this way? Analyzing the PyTorch Memory Management Mechanism Mainly Aims to Reduce “Memory Fragmentation” Impact. A … Read more