Transformer is a model that utilizes the attention mechanism to improve the training speed of models. For more information about the attention mechanism, you can refer to this article (https://zhuanlan.zhihu.com/p/52119092). The transformer can be said to be a deep learning model that is entirely based on the self-attention mechanism, as it is suitable for parallel … Read more
This article will cover theessence of Transformer, the principles of Transformer, and improvements in Transformer architecture in three aspects to help you understand Transformer. 1. Essence of Transformer Transformer Architecture: It mainly consists of four parts: input section (input-output embeddings and position encoding), multi-layer encoder, multi-layer decoder, and output section (output linear layer and Softmax). … Read more
5.17 The Intellectual The Intellectual Image Source: Pixabay Written by | Sun Ruichen Edited by | Li Shanshan ● ● ● Today, large language pre-trained neural network models such as ChatGPT have become widely known names. However, the algorithmic core behind GPT—the artificial neural network algorithm—has undergone an 80-year rollercoaster of ups and downs. During … Read more
History of AI: The Evolution of AI Waves It is widely believed that AI has experienced two waves and is now undergoing a third wave. Below, we will review the history of AI and understand what AI really is. （ Image Source: Internet） What Exactly is AI—General AI vs. Narrow AI No technology currently exists … Read more
Artificial Intelligence The Intelligent Force Reshaping the World Artificial Intelligence (AI), as one of the hottest topics in today’s technology field, is changing our lives, work, and social structures at an unprecedented speed. AI, short for Artificial Intelligence, involves various disciplines such as computer science, mathematics, statistics, philosophy, and psychology, aiming to simulate, extend, and … Read more
█ What Exactly Is AI? AI is short for artificial intelligence. The term artificial can confuse many students who may think it relates to the adjective for art. However, artificial means “man-made” or “synthetic,” which is the opposite of natural. Intelligence is not easily mistaken; it means “intelligence.” The name of Intel Corporation is based … Read more
Technical Column Author: lyl Compiled by: Rabbit What should the new technical column write about? This question has troubled our engineers for a long time. Regarding deep learning, there is an abundance of materials and literature available online; as long as everyone is willing to learn, there is everything from beginner to advanced. Until one … Read more
Click on the “AI有道” above to select the “Star” public account Heavyweight content delivered first-hand This article is adapted from DataWhale Training techniques are very important for deep learning. As a highly experimental science, the same network structure trained with different methods can yield significantly different results. Here, I summarize my experiences over the past … Read more
From | DataWhale Training techniques are very important for deep learning. As a highly experimental science, even the same network architecture trained with different methods can yield significantly different results. Here, I summarize my experiences from the past year and share them with everyone. I also welcome additions and corrections. Parameter Initialization Any of the … Read more
Author: Zhang Jianzhong Source: http://blog.csdn.net/zouxy09/article/details/8775518 Deep learning is a new field in the study of machine learning, motivated by the establishment and simulation of neural networks that analyze and learn like the human brain. It mimics the mechanisms of the human brain to interpret data such as images, sounds, and text. Deep learning is a … Read more