Text Generation with LSTM Based on Anna Karenina

Text Generation with LSTM Based on Anna Karenina

Click the “MLNLP” above to select the “Starred” public account. Heavyweight content delivered promptly. Author: Tian Yu Su https://zhuanlan.zhihu.com/p/27087310 Introduction Recently, I finished reading some foreign materials on LSTM, mainly referencing Colah’s blog and Andrej Karpathy’s blog on RNN and LSTM, and I am preparing to implement an LSTM model. The basic framework of the … Read more

Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling

Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling

Click the “MLNLP” above to add it to your “Starred” or “Pinned” list. Heavyweight content delivered to you first. Editor: Yizhen https://www.zhihu.com/question/46688107 This article is for academic sharing only. If there is any infringement, it will be deleted. Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling Author:Xie Zhininghttps://www.zhihu.com/question/46688107/answer/117448674 Both have their pros … Read more

Poetry Generation Based on LSTM

Poetry Generation Based on LSTM

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

Understanding LSTM and GRU in Gated Recurrent Neural Networks

Understanding LSTM and GRU in Gated Recurrent Neural Networks

Click on the above “Beginner’s Guide to Visual Learning” to choose to add “Star” or “Top” Heavyweight content delivered at the first time Editor | Anke Produced by | Panchuang AI Technology Team Table of Contents: Introduction to Gated Recurrent Neural Networks Long Short-Term Memory Networks (LSTM) Gated Recurrent Units (GRU) Implementing LSTM and GRU … Read more

Deep Learning Methods for NLP Text Classification

Deep Learning Methods for NLP Text Classification

Li Dakang1 minute ago 1. The purpose of this library is to explore methods for NLP text classification using deep learning. 2. It has various benchmark models for text classification. 3. It also supports multi-label classification, where multiple labels are associated with sentences or documents. Although many of these models are quite simple and may … Read more

NLP Text Classification Deep Learning Methods Library

NLP Text Classification Deep Learning Methods Library

This article is reprinted with authorization from the WeChat public account “Robot Circle” (WeChat ID: ROBO_AI) The length of this article is 4473 words, and it is recommended to read it in 10 minutes This article introduces a library of NLP text classification deep learning methods and its 12 models. The purpose of this library … Read more

Automatically Generate Ancient Poetry Based on RNN

Automatically Generate Ancient Poetry Based on RNN

Column ❈ Author: yonggege, author of Python Chinese community column GitHub Address: https://github.com/wzyonggege ❈ 0. char-rnn There are already many introductions about RNN, LSTM, and GRU. The char-rnn is a multi-layer RNN network. This time, we will use the Tensorflow version of sherjilozair/char-rnn-tensorflow to input a large number of ancient poems and let the machine … Read more

DNN/LSTM/Text-CNN Sentiment Classification Practice and Analysis

DNN/LSTM/Text-CNN Sentiment Classification Practice and Analysis

Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered at the first time! Author: Tian Yu Su Zhihu: https://zhuanlan.zhihu.com/p/37978321 Editor: Wang Meng, City University of Macau (Deep Learning Go Go Go public account) This article is for academic sharing only. If there is any infringement, please contact the backend to delete the article. … Read more

How to Handle Variable Length Sequences Padding in PyTorch RNN

How to Handle Variable Length Sequences Padding in PyTorch RNN

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

Top 10 Deep Learning Algorithms

Top 10 Deep Learning Algorithms

Since the concept of deep learning was proposed in 2006, almost 20 years have passed. As a revolution in the field of artificial intelligence, deep learning has given rise to many influential algorithms. So, what do you think are the top 10 deep learning algorithms? Here are my top 10 deep learning algorithms, which hold … Read more