Originally from Robotics Network In fact, artificial intelligence has existed in our lives for a long time. However, for many people, artificial intelligence is still a relatively “profound” technology, but no matter how profound the technology is, it starts from basic principles. In the field of artificial intelligence, there are 10 major algorithms that are … Read more
Source ： Turing Artificial Intelligence According to the different types of data, modeling a problem can be done in various ways. In the field of machine learning or artificial intelligence, the learning method of the algorithm is usually the first consideration. There are several main learning methods in machine learning. Classifying algorithms by learning methods … Read more
In fact, artificial intelligence has been a part of our lives for a long time. However, for many people, AI still seems like a rather “profound” technology. Yet, no matter how profound the technology is, it starts from basic principles. There are 10 major algorithms in the field of artificial intelligence that are based on … Read more
First, let’s visually perceive the status of “Deep Learning”. The image below is a relationship diagram of AI, Machine Learning, and Deep Learning. The field of AI is relatively broad, Machine Learning is a subfield of AI, and Deep Learning is a subset within the Machine Learning domain. Deep learning algorithms have recently become increasingly … Read more
About 8000 words, recommended reading time 20 minutes. This article introduces the mathematical principles behind artificial neural networks. Introduction When it comes to artificial intelligence algorithms, artificial neural networks (ANN) are an unavoidable topic. However, for beginners, it is often easy to be overwhelmed by the complex concepts and formulas in ANN, leading to a … Read more
Click the above “Little White Learns Vision“, choose to add “Starred” or “Top“ Heavyweight content delivered first-hand The optimization of machine learning (objective) can be simply described as: searching for a set of parameters w for the model that can significantly reduce the cost function J(w). This cost function usually includes performance evaluation over the … Read more
Introduction: Here comes the valuable content! Udacity Machine Learning course mentor Walker is here to teach you how to understand neural networks in a simple, vivid, and interesting way! What is a neural network? A neural network is a series of simple nodes that, when combined simply, express a complex function. Let’s explain each one … Read more
First, let’s visually appreciate the position of “Deep Learning”. The following diagram illustrates the relationship between AI, Machine Learning, and Deep Learning. The field of AI is relatively broad, with Machine Learning being a subfield of AI, and Deep Learning being a subset within the Machine Learning domain. Deep learning algorithms have recently become increasingly … Read more
Why is Machine Learning Necessary? Some tasks are complex to encode directly; we cannot handle all the nuances and simple coding. Therefore, machine learning is essential. Instead, we provide a large amount of data to machine learning algorithms, allowing them to explore the data and build models to solve problems. For example: recognizing 3D objects … Read more
Originally from Python Artificial Intelligence Frontier Graph Neural Networks are widely used in recommendation systems, knowledge graphs, and traffic road analysis due to their advantages in processing non-Euclidean space data and complex features. However, when the graph data volume increases, problems arise: computation becomes extremely slow, memory cannot hold it, and communication in distributed systems … Read more