Click the blue text aboveComputer Vision Alliance to get more valuable content Set as favorite in the upper right corner ··· and we won’t miss each other This is for academic sharing only and does not represent the stance of this public account. Contact for removal in case of infringement Reprinted from: Author: Lucas Address: … Read more
Machine Heart (Overseas) Original Author: Mos Zhang Participated by: Panda Machine Translation (MT) is the process of “automatically translating text from one natural language (source language) to another (target language)” using machines [1]. The idea of using machines for translation was first proposed by Warren Weaver in 1949. For a long time (from the 1950s … Read more
Programmers transitioning to AI are following this account👇👇👇 1 Data Exploration and Preprocessing 1.1 Competition Review Background As the world’s largest clean energy source, solar energy is renewable and non-polluting compared to coal and oil; as long as there is sunlight, there is solar energy. Therefore, the utilization of solar energy has been prioritized as … Read more
This article is reproduced with permission from the WeChat public account Paper Weekly (ID: paperweekly). Paper Weekly shares interesting papers in the field of natural language processing every week. “In-depth Analysis: GAN Models and Their Progress in 2016” [1] provides a detailed introduction to the progress of GANs over the past year, which is highly … Read more
Big Data Digest Work Compiled by: Wang Yiding, Xiu Zhu, Ruan Xuenni,Ding Hui, Qian Tianpei NVIDIA released the “world’s largest GPU” yesterday while experiencing a stock price drop of more than $20, which has not recovered by the time of this publication. Countless students are asking in the background whether they should buy the dip? … Read more
Machine Heart Column Author:Zhang Hao RNNs are very successful in handling sequential data. However, understanding RNNs and their variants, LSTM and GRU, remains a challenging task. This article introduces a simple and universal method for understanding LSTM and GRU. By simplifying the mathematical formalization of LSTM and GRU three times, we can visualize the data … Read more
Click the blue text to follow us Happy New Year, wishing you good fortune in the Year of the Dragon Happy Spring Festival LSTM Neural Network Time Series Prediction Given a simple dataset, we use Long Short-Term Memory (LSTM) neural networks to implement time series prediction, with the ReLU function as the activation function. The … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station, updated weekly on the Machine Heart public account. This column will review common tasks in natural language processing, computer vision, and other fields, and provide detailed explanations of classic models that have achieved SOTA in these tasks. Visit SOTA! Model Resource … Read more
Produced by Big Data Digest Compiled by: Fei, Ni Ni, Mix Candy, QianTian Pei The main application of AI in the future is to establish networks that can learn from data and then generate original content. This idea has been fully applied in the field of Natural Language Processing (NLP), which is also why the … Read more
Original by Machine Heart Author: Siyuan Recently, Machine Heart interviewed Huang Kang, the senior technical director of Kika, who told us about the deep learning model used in the development of Kika’s input method AI engine (project code name: Alps) and the various challenges encountered in lightweight deployment on mobile devices. This article introduces the … Read more