Source: Algorithm Advancement Author: Ziyue Wu@Zhihu Link: https://zhuanlan.zhihu.com/p/283633149 This article is about 4500 words long and is recommended to read in 10 minutes. This article mainly summarizes a survey on Bayesian deep learning: A Survey on Bayesian Deep Learning. The content includes a basic introduction to Bayesian deep learning and its applications in recommendation systems, … Read more
Follow our WeChat public account “ML_NLP“ Set it as “Starred“, delivering heavy content as soon as possible! Source | https://github.com/scutan90/DeepLearning-500-questions/blob/master/ch03_%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/%E7%AC%AC%E4%B8%89%E7%AB%A0_%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80.md Organizer | dilligencer https://zhuanlan.zhihu.com/p/105476748 This article is for interview experience sharing only and not for commercial use. If there is any infringement, please contact for deletion. 1. Why is it difficult to train deep neural … Read more
Non-Business Promotion Space Cover Image Source:CAM (Cambridge Alumni Magazine) Issue 85 Written by | Jin Chunqi In recent years, deep learning methods have achieved tremendous success in learning complex data forms, leading to new modeling and data processing methods across many scientific disciplines. It can address numerous data-intensive tasks, including but not limited to 3D … Read more
Abstract: Training deep models has been a long-standing challenge. In recent years, a series of methods represented by hierarchical and layer-wise initialization have brought hope to training deep models and have achieved success in various application fields. The parallelization framework and training acceleration methods for deep models are important cornerstones for deep learning to become … Read more
Click on the above “Beginner Learning Vision” to choose to add Star or Pin. Significant content delivered at the first time Source: Coggle Data Science The field of machine learning is vast. To avoid getting lost in learning, the following list can help guide your studies. It outlines some learning details of deep learning. Stage … Read more
Source: Asynchronous Community As artificial intelligence gradually gains traction, facial recognition, voice recognition, and deep analysis of text have increasingly found applications in our daily lives. Furthermore, through continuous understanding of client needs at work, I have noticed a growing interest in inquiries related to deep learning or neural network algorithms. This indicates that with … Read more
PART01 Concept of Deep Learning Deep Learning (DL) was first proposed by G. E. Hinton and others at the University of Toronto in 2006. It is a machine learning (ML) process that derives a deep network structure with multiple layers based on sample data through certain training methods. Machine learning typically analyzes structured data using … Read more
Author: Kuang Ji Reviewed by: Los In the field of deep learning, sequence modeling remains a challenging task, typically addressed by models such as LSTMs and Transformers. However, these models have substantial computational costs, leading to significant drawbacks in practical applications. Mamba is a linear time series modeling framework designed to improve the efficiency and … Read more
In fact, artificial intelligence has been part of our lives for a long time. However, for many people, artificial intelligence is still a relatively “profound” technology,but no matter how profound the technology is, it starts from basic principles.. There are ten major algorithms in the field of artificial intelligence, which are simple in principle, discovered … Read more
Welcome to the special winter vacation premium column “High-Tech Lessons for Kids” launched by Science Popularization China! As one of the most cutting-edge technologies today, artificial intelligence is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens a future full of infinite … Read more