Click the blue text above to follow us TensorFlow: Essential Tool for Machine Learning Engineers Recently, while working on a deep learning project, I found TensorFlow to be an excellent tool. It is not only powerful but also very easy to use. Today, let’s discuss the basics of TensorFlow and see how it helps us … Read more
▲Click above Leifeng Network to follow The Four Major Boundaries: Data Boundary, Semantic Boundary, Symbolic Boundary, and Causal Boundary Written by | Cong Mo Currently, deep learning in natural language processing has its limitations. So where are the boundaries of its effectiveness? This is a question we should ponder deeply. Recently, at the Fourth Language … Read more
A Big Data Digest production, reprint requirements see the end of the article. Big Data Digest proudly presents the University of OxfordDeep Learning and Natural Language Processing Course (Deep NLP) dubbed video! Lecture 2a-1 Word Vectors and Lexical Semantics (Part 1) Content of this session: Taught by Ed Grefenstette from DeepMind, discussing word vectors and … Read more
Author | Howard Source | Zhihu 1. NLP’s Head Start The history of NLP development is quite early, as the need for language processing has existed since the invention of computers. Various string algorithms have been intertwined with the history of computer development. The great Chomsky proposed generative grammar, which is the most basic framework … Read more
Reprinted with permission from AI TIME Discussion Author: Liu Zhiyuan Editor: Gege “Language is like amber, preserving many precious and wonderful thoughts safely inside.” Since the dawn of humanity, natural language has carried the wisdom of generations, accumulating endless knowledge. This rich treasure of knowledge has attracted many curious AI researchers to cultivate, explore, and … Read more
Author: Le Yuquan, a master’s student at Hunan University, focusing on machine learning and natural language processing, has published several articles in conferences/journals such as IJCAI and TASLP. This article is a summary of the author’s learning process. Like-minded friends are welcome to follow the author’s WeChat public account “AI Beginner” for discussions and learning … Read more
Fingerprint unlocking, facial recognition, speech-to-text conversion, robots diagnosing illnesses, AlphaGo······ We have deeply felt that artificial intelligence is changing the way we work and perceive the world. According to a report by SAS on the readiness of enterprises for artificial intelligence, most companies believe that AI is still in its early stages, “Currently, many application … Read more
This article is a translated note of the Stanford University CS231N course, authorized by Professor Andrej Karpathy of Stanford University. This is a work of Big Data Digest, and unauthorized reproduction is prohibited. For specific requirements for reproduction, see the end of the article. Sign up now Machine Learning Training Registration is now open! Top-notch … Read more
With the development of deep learning technology, the detection of human skeletal key points has continuously improved and has been widely applied in fields related to computer vision, becoming the foundation for many computer vision tasks, including security, new retail, motion capture, human-computer interaction, and more. Now, the popular human pose recognition has also been … Read more
This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. This is a work from Big Data Digest, unauthorized reproduction is prohibited; specific requirements for reproduction can be found at the end of the article. Translation: Han Xiaoyang & Long Xincheng … Read more