Deep Learning is a class of machine learning algorithms that primarily learns the inherent patterns and hierarchical representations of sample data, enabling machines to possess analysis and learning capabilities similar to humans. The ultimate goal of deep learning is to allow machines to recognize and interpret various data, such as text, images, and sounds, thereby … Read more
Deep Learning (DL) is a new research direction in the field of Machine Learning (ML), introduced to bring machine learning closer to its original goal—Artificial Intelligence (AI). Deep learning learns the intrinsic patterns and hierarchical representations of sample data, which significantly aids in interpreting data such as text, images, and sounds. Its ultimate goal is … Read more
This article is about 3200 words long and is recommended for a 6-minute read. This paper is co-authored by three top experts – "Deep Learning". This is a must-read paper for anyone learning deep learning, co-authored by the father of convolutional neural networks, Yann Le Cun, Yoshua Bengio, and the leading figure in deep learning, … Read more
Artificial intelligence, like immortality and interstellar travel, is one of humanity’s greatest dreams. Although computer technology has made significant progress, no computer has yet been able to produce a “self” awareness. However, since 2006, the field of machine learning has made groundbreaking advancements. The Turing test is at least not as unreachable as it once … Read more
Deep learning, also known as Deep Learning, is a learning algorithm and an important branch of artificial intelligence. In just a few years, deep learning has revolutionized algorithm design in various fields such as speech recognition, image classification, and text understanding, gradually forming a new model that starts from training data, goes through an end-to-end … Read more
Author | Sean Lie Translation | Hu Yanjun, Cheng Haoyuan In recent years, the scale of neural network models has grown exponentially, from BERT with over 100 million parameters in 2018 to GPT-3 with 175 billion parameters in 2020, an increase of three orders of magnitude in just two years, and this growth shows no … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered at the first time! Source | Big Data Digest Translation | Ao🌰viYa, Meat Bun, Andy This article by Denny Britz summarizes the important ideas in deep learning over time, recommended for newcomers, listing almost all the key ideas since 2012 that have supported … Read more
Reference Cohen G, Sapiro G, Giryes R. Detecting adversarial samples using influence functions and nearest neighbors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14453-14462. Abstract Deep neural networks are notorious for being vulnerable to adversarial attacks, which involve adding small perturbations to input images to mislead their predictions. Therefore, detecting adversarial … Read more
Machine Learning A grand history of artificial intelligence development The victory of AlphaGo, the success of autonomous driving, the breakthrough in pattern recognition, and the rapid development of artificial intelligence have repeatedly stirred our nerves. As the core of artificial intelligence, machine learning has also received much attention in the rapid development of AI, shining … Read more
Weak artificial intelligence has made significant breakthroughs in recent years and has quietly become an essential part of everyone’s life. Take our smartphones as an example, let’s see how much magic of artificial intelligence is hidden within. The image below shows some common applications installed on a typical iPhone. Many people might not guess that … Read more