Overview of Deep Learning: Concepts and Applications

Overview of Deep Learning: Concepts and Applications

Introduction The concept of deep learning originates from the study of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a type of deep learning structure. Deep learning combines low-level features to form more abstract high-level representations of attribute categories or features, in order to discover distributed feature representations of data. The concept … Read more

Introduction to Unsupervised Machine Translation Without Bilingual Corpora

Introduction to Unsupervised Machine Translation Without Bilingual Corpora

Selected from Medium Author:Harshvardhan Gupta Compiled by Machine Heart Contributors: Liu Xiaokun, Lu Xue Last year, Facebook published a paper titled “Unsupervised Machine Translation Using Monolingual Corpora Only,” proposing unsupervised machine translation using monolingual corpora. Recently, an article on Medium interpreted this paper, and Machine Heart has compiled an introduction to it. Deep learning is … Read more

GAN Network Image Translator: Image Restoration and Enhancement

GAN Network Image Translator: Image Restoration and Enhancement

1 New Intelligence Column Author: Liu Shiqiang [New Intelligence Guide] This article introduces the application of deep learning methods in the field of image translation by implementing an encoding-decoding “image translator” for image enhancement, showcasing the effectiveness of deep learning applications in image translation. In recent years, deep learning has achieved remarkable results in image … Read more