Click the blue text above to follow ↑↑↑↑↑ Author: Andrey Kurenkov As the puzzle of training multi-layer neural networks is unraveled, this topic has once again become extraordinarily popular, and Rosenblatt’s lofty ambitions seem to be realized. Until 1989, another key discovery was published, which is still widely cited in textbooks and major lectures. Multi-layer … Read more
This article is about 3200 words long and suggests a reading time of 6 minutes. Graph Neural Networks (GNN) are a type of deep learning method particularly adept at handling data with a graph structure. Graph Neural Networks (GNN) are a type of deep learning method particularly good at handling data with a graph structure. … Read more
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
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
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