Source: DeepHub IMBA This article is about 3800 words, and it is recommended to read in 5 minutes. Since the release of diffusion models, the attention and papers on GANs have decreased significantly, but some ideas within them are still worth understanding and learning. Therefore, in this article, we will implement SN-GAN using PyTorch. Spectral … Read more
Click on the above “Beginners Learn Vision”, select to add “Star” or “Top” Important content delivered at the first time Convolutional Neural Networks (CNN) are fundamental knowledge in deep learning. This article provides a detailed interpretation of the basic principles of CNN and common CNN architectures, and introduces the process of building deep networks with … Read more
This article is a bit long, and I will divide it into several parts. Through this article, I hope to help you thoroughly understand the principles of RNN (Recurrent Neural Networks) and be able to implement it at the code level. Table of Contents What This Article Does Inputs and Outputs of RNN RNN Network … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, … Read more
This article delves into three key attention mechanisms in Transformer models: self-attention, cross-attention, and causal self-attention. 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 potential applications. We will discuss not only the theoretical concepts … Read more
This article shares a detailed blog post about the Transformer from Harvard University, translated by our lab. The Transformer architecture proposed in the paper “Attention is All You Need” has recently attracted a lot of attention. The Transformer not only significantly improves translation quality but also provides a new structure for many NLP tasks. Although … Read more
Click the “MLNLP” above and select “Star” to follow the public account Heavyweight content delivered to you first Author:Old Song’s Tea Book Club Zhihu Column:NLP and Deep Learning Research Direction:Natural Language Processing Introduction A few days ago, during an interview, an interviewer directly asked me to analyze the source code of BERT. Emm, that was … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, 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 language processing and machine learning, especially for beginners. Reprinted … Read more
The application of Bert in production environments requires compression, which demands a deep understanding of the Bert structure. This repository will interpret the Bert source code (PyTorch version) step by step. The repository can be found at https://github.com/DA-southampton/NLP_ability Code and Data Introduction First, for the code, I referenced this repository. I directly cloned the code … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, 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 … Read more