This article is extracted from the “Engineering” journal of the Chinese Academy of Engineering, 2019, Issue 2. Authors: Liu Shengfeng, Wang Yi, Yang Xin, Lei Baiying, Liu Li, Li Xiang, Ni Dong, Wang Tianfu Source: Deep Learning in Medical Ultrasound Analysis: A Review[J]. Engineering, 2019, 5(2): 261-275. Editor’s Note As one of the most commonly … Read more
Author Michael NguyenTranslated by Wang Xiaoxin from Towards Data ScienceProduced by QbitAI | WeChat Official Account AI recognizes your voice, answers your questions, and helps you translate foreign languages, all relying on a special type of Recurrent Neural Network (RNN): Long Short-Term Memory Network (LSTM).Recently, there has been a very popular illustrated tutorial abroad about … Read more
↑ ClickBlue Text Follow the Jishi PlatformAuthor丨ChaucerGSource丨Jizhi ShutongEditor丨Jishi Platform Jishi Introduction This article introduces Sequencer, a brand new and competitive architecture that can replace ViT, providing a fresh perspective for classification problems. Experiments show that Sequencer2D-L achieves 84.6% top-1 accuracy on ImageNet-1K with only 54M parameters. Moreover, the authors demonstrated its good transferability and robustness … Read more
Selected from Machine Learning Mastery Author: Jason Brownlee Translated by Machine Heart Contributed by: Li Zenan How should we cope when LSTM recurrent neural networks face long sequence inputs? Jason Brownlee provides us with 6 solutions. Long Short-Term Memory (LSTM) recurrent neural networks can learn and remember long sequences of input. If your problem has … Read more
Machine Heart Release Authors: Song Zhuoran, Wang Ru, Ru Dongyu, Peng Zhenghao, Jiang Li Shanghai Jiao Tong University In this article, the authors utilize the Dropout method to generate a large amount of sparsity during the neural network training process for acceleration. This paper has been accepted by the Design Automation and Test in Europe … Read more
Xinzhiyuan Report Source: blog.otoro.net Reporter: Wen Qiang 【Xinzhiyuan Guide】You never know the potential of Chinese characters. Hardmaru, a researcher at Google Brain’s Tokyo branch, uses neural networks to generate Chinese characters based on strokes, creating a series of “fake characters.” Some of them do look quite authentic. As we are all Chinese, having grown up … Read more
1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can reduce the original image with very large pixel sizes to a smaller pixel image while retaining the main features. This article elaborates on the content from Professor Li Hongyi’s PPT. 1.1 Why CNN for Images ① Why Introduce … Read more
If you don’t click the blue text to follow, the opportunity will fly away! CNN and RNN are the two most commonly used deep learning network architectures in deep learning. Some students may not be very clear about the differences between these two networks, and today I happened to see an image that can clearly … Read more
0Introduction Nowadays, discussions about machine learning, deep learning, and artificial neural networks are becoming more prevalent. However, programmers often just want to use these magical frameworks without wanting to understand how they actually work. But if we can grasp the principles behind them, wouldn’t it be better for their usage? Today, we will discuss recurrent … Read more
Welcome to click the blue text to follow “Smart IT Journal“! Dou Hui, Zhang Lingming, Han Feng, Shen Furao, Zhao Jian Journal of Software Journal of Software Abstract The performance of neural network models is increasingly powerful and widely applied to solve various computer-related tasks, demonstrating excellent capabilities. However, humans do not fully understand the … Read more