Approximately 10,000 words, recommended reading time: 15 minutes. This article shares the top 10 models in deep learning, which hold significant positions in terms of innovation, application value, and impact. Since the concept of deep learning was proposed in 2006, nearly 20 years have passed. Deep learning, as a revolution in the field of artificial … 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
“Lookalikes” have always been a big joke in the entertainment industry. If you run into Sun Nan, Yang Chenggang, Wang Daye… while buying a train ticket, face-blindness sufferers might as well give up going home and cry on the spot. Of course, “lookalikes” are not unique to the entertainment industry; there are also some “similar-looking” … Read more
Source: Reprinted from Lei Feng Network Original Title: The Evolution of Speech Recognition Modeling Technology Under the Wave of AI Speech recognition modeling is an indispensable part of speech recognition, as different modeling techniques often mean different recognition performance. Therefore, this is a key optimization direction for various speech recognition teams. Because of this, speech … Read more
Paper Introduction “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors https://aclanthology.org/2023.findings-acl.426/ This paper introduces a new method for text classification, providing a non-parametric alternative to Deep Neural Networks (DNNs). Although DNNs are widely used due to their high accuracy, they require a large amount of labeled data and millions of parameters, making their computational … Read more
1. Review DNN Training Word Vectors Last time we discussed how to train word vectors using the DNN model. This time, we will explain how to train word vectors using word2vec. Let’s review the DNN model for training word vectors that we discussed earlier: In the DNN model, we use the CBOW or Skip-gram mode … Read more
Broadly speaking, NN (or the more elegant DNN) can indeed be considered to encompass specific variants like CNN and RNN. In practical applications, the so-called deep neural network DNN often integrates various known structures, including convolutional layers or LSTM units. However, based on the question posed, the DNN here should specifically refer to a fully … Read more
Alex from Aofeisi Quantum Position | WeChat QbitAI What is faster than deep neural networks? Perhaps photonic DNN can answer this question. Currently, a photonic neural network (photonic deep neural network, PDNN) developed by researchers in the United States allows image recognition in just 1 nanosecond. What does 1 nanosecond mean? It equals 10-9 seconds, … Read more
Selected from arXiv Compiled by Machine Heart Contributors: Wu Pan Deep neural networks (DNNs) have achieved performances that rival or even surpass humans in many tasks, but their generalization ability is still far inferior to that of humans. A recent paper from Tübingen University and other institutions compared the robustness of target recognition between humans … Read more
Recommended by New Intelligence1 Authorized Reprint by iFlytek Author: iFlytek Research Institute In recent years, artificial intelligence has become increasingly intertwined with human life. People have long envisioned a true Jarvis at their side, hoping that one day computers can truly listen, speak, understand, and think like humans. An important prerequisite for achieving this goal … Read more