MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
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
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
Source: New Intelligence This article contains 4263 words, suggested reading time is 8 minutes. This article discusses the recent paper published by 27 authors from DeepMind, Google Brain, MIT, and other institutions, proposing the “Graph Network” (GNN), which combines end-to-end learning with inductive reasoning, aiming to solve the problem of relational reasoning that deep learning … Read more
This article briefly introduces the main work of the paper accepted in April 2019 by Pattern Recognition titled “Recognizing Online Handwritten Chinese Characters Using RNNs with New Computing Architectures”. This paper mainly addresses the end-to-end recognition problem of handwritten Chinese characters. 1. Research Background Handwritten input is a very common human-computer interaction method. With the … Read more
01 Training Overview Python has become one of the most popular programming languages: according to the latest TIOBE rankings, Python has surpassed C# and is now among the top 4 most popular languages globally alongside Java, C, and C++. The simplicity, readability, and extensibility of Python, along with its numerous extension libraries, make it an … Read more
Author: Siddharth M Translator: Wang Kehan Proofreader: Ouyang Jin This article is approximately 1300 words long and is recommended for a 6-minute read. This article teaches you how to use LSTM networks to predict stock price trends and visualize opening and closing prices. 1. Introduction Long Short-Term Memory (LSTM) is a model that can enhance … Read more
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
This article will introduce the use of a simple RNN model for time series prediction. For example, we currently have a segment of a sine curve as shown in the figure below. We will input the red part and train the model to output the next segment’s values. First, let’s analyze it. Assuming we input … Read more
In the previous article, we summarized RNNs (Recurrent Neural Networks). Due to the gradient vanishing problem in RNNs, it is challenging to handle long sequences of data. Experts have improved RNNs, resulting in a special case called LSTM (Long Short-Term Memory), which can avoid the gradient vanishing problem typical of conventional RNNs, thus gaining widespread … Read more