We often see many powerful artificial intelligences: In science fiction movies, it is the terminator from the future. In the real world, it is AlphaGo, which easily defeated a nine-dan Go player. We can’t help but ask, where does the immense intelligence potential of computers come from? How does it become increasingly “smart”? The answer … Read more
01 Two Nobel Prize Winners John J. Hopfield (left), born in 1933 in Chicago, Illinois, received his PhD from Cornell University in 1958, and is currently a professor at Princeton University. Geoffrey E. Hinton (right), born in 1947 in London, England, received his PhD from the University of Edinburgh in 1978, and is currently a … Read more
Do you want to become an AI practitioner? Systematic learning of machine learning is key! What is Machine Learning? Machine learning is a science that enables computers to function without explicit programming. Over the past decade, machine learning has provided us with practical tools such as self-driving cars, real-time speech recognition, and efficient web searches, … Read more
When it comes to the popular terms of recent years, “Artificial Intelligence” must be on the list. Following the explosive popularity of ChatGPT last year, “AI (Artificial Intelligence)” has repeatedly topped the trending search lists and has been named the Word of the Year 2023 by Collins, a British dictionary publisher. In addition to “Artificial … Read more
1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence (Artificial intelligence) is a new technical science that studies and develops theories, methods, technologies, and application systems to simulate, extend, and enhance human intelligence. It is a broad and vague concept, and the ultimate goal of artificial intelligence is to enable computers to … Read more
Source: Deephub Imba This article is approximately 800 words long and is recommended to be read in 5 minutes. This article mainly introduces <strong>Word2Vec</strong> and <strong>Doc2Vec</strong>. Doc2Vec is an unsupervised algorithm that learns embeddings from variable-length text segments (such as sentences, paragraphs, and documents). It first appeared in the paper Distributed Representations of Sentences and … Read more
Summary of Word2vec References First, let me briefly describe my deep dive into Word2vec: as per usual, I started by reading Mikolov’s two original papers on Word2vec, but I found myself still confused after finishing them. The main reason is that these two papers omitted too much theoretical background and derivation details. I then dug … Read more
Source: Poll’s Notes Original URL:http://www.cnblogs.com/maybe2030/ Reading Directory 1. Word Vectors 2. Distributed Representation of Word Vectors 3. Word Vector Models 4. Word2Vec Algorithm Concepts 5. Doc2Vec Algorithm Concepts 6. References Deep learning has opened a new chapter in machine learning, and significant breakthroughs have been made in applying deep learning to images and speech. Deep … Read more
/Medical Bioinformatics/ ABOUT US ⌈ Medical Bioinformatics ⌋ is a public account operated by the “Medical Genetics and Bioinformatics Research Group” at Central South University. The research group develops new tools, platforms, and databases for accurately interpreting gene variations and identifying candidate genes using bioinformatics, artificial intelligence, deep learning, etc., applying them to neuropsychiatric diseases … Read more
Hello everyone, I am Hua Ge. This article summarizes the stunning ideas, algorithms, and papers in deep learning. Stunning Ideas Attention Mechanism The core idea of the attention mechanism is to allow the model to allocate different attention weights based on the importance of the data while processing it. This mechanism enables the model to … Read more