Click on the above “Beginner Learning Vision”, choose to add Star or “Top” Essential insights delivered at the first moment Contents: 1. Concept of Convolutional Neural Networks 2. Characteristics of Convolutional Neural Networks 2.1 Local Region Connections 2.2 Weight Sharing 2.3 Downsampling 3. Structure of Convolutional Neural Networks 3.1 Convolutional Layer 3.2 Pooling Layer 4. … Read more
1. Basic Principles of Neural Networks 1. Simple Principles of Biological Neural Networks In biological neural networks, each neuron’s dendrite receives electrical signals from multiple previous neurons, combining them into a stronger signal. If the combined signal is strong enough and exceeds the threshold, the neuron will be activated and will also send out a … 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
MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP graduate students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, especially for beginners. … Read more
Click on the above “Beginner Learning Vision” to choose to add Starred or “Top” Heavy content delivered at the first time Author丨Li Ming Huai Jin Source｜https://zhuanlan.zhihu.com/p/80361782 Editor丨Extreme City Platform Extreme City Guide This article first defines the concept of Convolutional Neural Networks, briefly introduces several common optimization methods, and discusses the author’s experiences in this … Read more
Introduction In 1997, computer scientist Wolfgang Maass proposed that networks composed of spiking neurons—spiking neural networks (SNN)—would become the “third generation of neural network models” following artificial neural networks. As one of the forefront intersections of neuroscience and artificial intelligence, the research on spiking neural networks starts from the biological rationale of neuron nodes and … Read more
Click on the above“Learning Visuals for Beginners” to choose to addStar Mark or “Pin to Top” Important content delivered immediately The convolutional neural network is a deep network structure mainly composed of convolutional layers. The network structure includes convolutional layers, activation layers, BN layers, pooling layers, FC layers, loss layers, etc. The convolution operation is … Read more
Originally from Zhiyuan Community [Column: Key Issues]In recent years, we have witnessed increasingly powerful neural network models, such as AlexNet, VGG, GoogleNet, ResNet, DenseNet, and the recently popular Transformer. The processes used by these neural networks can be summarized as follows: 1) Fixed network architecture, initializing network parameters; 2) Training phase: optimizing network parameters on … Read more
The hottest technology right now is definitely artificial intelligence. The underlying model of artificial intelligence is the “neural network”. Many complex applications (like pattern recognition, automatic control) and advanced models (like deep learning) are based on it. To learn artificial intelligence, one must start with it. What is a neural network? It seems that there … Read more
Source: Machine Vision Knowledge Recommender This article is approximately 11,000 words long and is recommended for a reading time of 10+ minutes. This article will introduce deep learning technology, neural networks, convolutional neural networks, and their applications in related fields. In today’s internet era, the intricate big data and network environment pose significant challenges to … Read more