Produced by Big Data Digest Source: eisenjulian Compiled by: Zhou Jiale, Qian Tianpei Using deep learning libraries like TensorFlow and PyTorch to write a neural network is no longer a novelty. But do you know how to elegantly build a neural network using Python and NumPy? Nowadays, there are many deep learning frameworks available, equipped … Read more
Soviet mathematician Andrey N. Kolmogorov (1903-1987). Image source: https://wolffund.org.il/ Introduction: Large models pose new questions to computational theory, which can also assist large models in revealing first principles, thereby finding boundaries and directions. For example, the KA Superposition Theorem completed by Soviet mathematician Kolmogorov and his student Arnold in the 1950s. Nick | Author Xiaoxue … Read more
-Distilling the Knowledge in a Neural Network Geoffrey Hinton∗†Google Inc. Mountain View [email protected] Oriol Vinyals† Google Inc. Mountain View [email protected] Jeff Dean Google Inc. [email protected] Abstract A simple way to improve the performance of almost any machine learning algorithm is to train many different models on the same data and then average their predictions.[3] Unfortunately, … Read more
In the field of deep learning, there are many specialized terms that can be quite overwhelming at first glance. However, as we delve deeper, we gradually start to understand them, albeit feeling like something is still missing. Today, we will discuss a specialized term called Attention mechanism! 1. Intuitive Understanding of Attention Imagine a scenario … Read more
The attention mechanism is mentioned in both of the following articles: How to make chatbot conversations more informative and how to automatically generate text summaries. Today, let’s take a look at what attention is. This paper is considered the first work using the attention mechanism in NLP. They applied the attention mechanism to Neural Machine … Read more
The attention mechanism can be likened to how humans read a book. When you read, you don’t treat all content equally; you may pay more attention to certain keywords or sentences because they are more important for understanding the overall meaning. Image: Highlighting key content in a book with background colors and comments. The role … Read more
Biomimetic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a biomimetic of the human visual attention mechanism, essentially a resource allocation mechanism. The physiological principle is that human visual attention can receive high-resolution information from a specific area in an image while perceiving its surrounding areas at a lower resolution, and … Read more
Source:Zhuanzhi This articlemultiresource， is recommended to readin 5 minutes。 This article details theAttention model‘s concepts, definitions, impacts, and how to start practical work. [Introduction]The Attention model has become an important concept in neural networks. This article brings you the latest overview of this model, detailing its concepts, definitions, impacts, and how to start practical work. … Read more
Abstract： In humans, attention is a core attribute of all perceptual and cognitive operations. Given our limited capacity to process competitive sources of information, the attention mechanism selects, adjusts, and focuses on information most relevant to behavior. For decades, the concept and function of attention have been studied across philosophy, psychology, neuroscience, and computer science. … Read more
Click the above to select Star or Top, delivering valuable content to you every day!！ Reading will take about 12 minutes Follow the little blogger and make a little progress every day Author:CHEONG From: Machine Learning and Natural Language Processing 1. Understanding the Principle of Attention Mechanism Simply put, the Attention mechanism refers to the … Read more