Author: Zhang Jianzhong Source: http://blog.csdn.net/zouxy09/article/details/8775518 Deep learning is a new field in the study of machine learning, motivated by the establishment and simulation of neural networks that analyze and learn like the human brain. It mimics the mechanisms of the human brain to interpret data such as images, sounds, and text. Deep learning is a … Read more
Selected from arXiv Authors: Guillaume Lample et al. Translation by Machine Heart Contributors: Zhang Qian, Lu Recently, researchers from FAIR proposed two variants of machine translation models, one being a neural model and the other based on phrases. The researchers combined two recently proposed unsupervised methods, simplifying the structure and loss functions, resulting in a … Read more
Selected from KDnuggets Translated by Machine Heart Author:Michael Dietz Contributors: Jane W, Yan Qi, Wu Pan Generative Adversarial Networks (GANs) have gained significant attention in the research community recently. In this article, Michael Dietz, founder of Waya.ai, explains why GANs hold such potential and illustrates how GANs work through a vivid comparison with boxing matches. … Read more
This article will explain the essence of machine learning algorithms and the principles of machine learning algorithms, as well as their applications in three aspects, helping you understand machine learning algorithmsMachine Learning Algorithms。 Machine Learning AlgorithmsMachine Learning Algorithms 1. Essence of Machine Learning AlgorithmsDefinition of Machine Learning Algorithms: Machine Learning Algorithms are defined as: mathematical … Read more
Author: Sebastian Ruder, Translated by QbitAI 2018 was a significant year for the field of NLP. The most notable was BERT, which swept various NLP tests and was hailed as the beginning of a new era in NLP. But in 2018, there was more than just BERT. Recently, Irish NLP researcher Sebastian Ruder wrote an … Read more