First, I recommend a Jupyter environment, which is provided by Google called colab (https://colab.research.google.com/), where you can use free GPUs. The first time you use it, you need to download the relevant Python libraries in the experimental environment. !pip install torch!pip install torchtext!python -m spacy download en Our preliminary idea is to first input a … Read more
Introduction The main content of this article is poetry generation based on LSTM, which includes an introduction to the dataset, experimental code, and results. The experiment uses a Long Short-Term Memory (LSTM) deep learning model, trained for 10 epochs. During the testing process, poetry generation results are produced at each epoch, and as the epochs … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first time! From | Zhihu Address | https://www.zhihu.com/question/278825804/answer/402634502 Author | Tian Yu Su Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is an infringement, please contact the background for deletion. I have … Read more
Follow the official account “ML_NLP“ Set as “Starred“, delivering heavy content immediately! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/97378498 Author | Si Jie’s Portable Mattress Editor | Machine Learning Algorithms and Natural Language Processing Official Account This article is authorized by the author, secondary reproduction is prohibited Modules and functions needed: import torch import torch.nn as … Read more
Follow us on WeChat “ML_NLP” Set as “Starred”, delivering valuable content to you first! Produced by Machine Learning Algorithms and Natural Language Processing Original Column Author on WeChat @ Yi Zhen School | PhD Student at Harbin Institute of Technology SCIR 1. Why RNN Needs to Handle Variable Length Inputs Assuming we have an example … Read more
This article is approximately 2600 words long and is recommended to be read in 9 minutes. The SUPRA method significantly improves model stability and performance by replacing softmax normalization with GroupNorm. Transformers have established themselves as the primary model architecture, particularly due to their outstanding performance across various tasks. However, the memory-intensive nature of Transformers … Read more
Author: Victor Zhou Translator: Wang Yutong Proofreader: Wu Jindi This article is about 3800 words, recommended reading time is 15 minutes. This article will introduce the basics of Recurrent Neural Networks (Vanilla RNNs), how they work, and how to implement them in Python. Recurrent Neural Networks (RNNs) are a type of neural network specifically designed … Read more
Recently, Academician Zhang Bo of the Chinese Academy of Sciences and Honorary Dean of the Institute for Artificial Intelligence at Tsinghua University stated in his speech at the 12th Internet Security Conference ISC.AI 2024 that current artificial intelligence lacks a theory, only developed models and algorithms targeted at specific fields. Both software and hardware are … Read more
As a heavy user of productivity tools, I consider myself to be on the cutting edge of this wave of AI. I have basically used various AI models and tools, and here I will briefly share my views on them. The following evaluations are very subjective, and I don’t care about any benchmark rankings. I … Read more
The large models of artificial intelligence not only amaze people through conversation, but many projects have already been implemented.The key to all this is the magical “emergence” of large AI models, and this article explains this phenomenon. 1. Artificial Intelligence Is Booming Again The popularity of large models triggered by ChatGPT remains unabated, with China … Read more