0 Introduction In the past few days, I have watched several videos and read blog posts about convolutional neural networks. I have organized the knowledge and content that I found useful, clarified the logic, and wrote it down here for future reference, so I can easily revisit it without losing it. 1 Convolutional Neural Networks … Read more
Essentially, deep learning is a trendy new term derived from a topic that has existed for quite some time – neural networks. >>>> Since the 1940s, deep learning has developed rapidly, achieving great success and being widely used in smartphones, cars, and many other devices. So, what are neural networks, and what can they do? … 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
RNN, CNN, Transformer, PyTorch and Keras are five commonly used deep learning models that have made significant breakthroughs in fields such as computer vision and natural language processing. This article will briefly introduce these five models from five dimensions: key technologies, data processing, application scenarios, basic principles, and classic cases. To help everyone better learn … Read more
Author: fengbingchun Original: http://blog.csdn.net/fengbingchun/article/details/50274471 1. Concept of Artificial Neural Networks Artificial Neural Networks (ANN), abbreviated as neural networks (NN), are mathematical models that simulate the processing mechanisms of the human brain’s neural system for complex information. This model is characterized by parallel distributed processing capabilities, high fault tolerance, intelligence, and self-learning abilities. It combines information … Read more
If you are interested in machine learning or have been engaged in it, then classification and regression are the most common terms. However, there is another common technique called the similarity problem, which can discover whether two inputs are similar; this is known as a Siamese Neural Network. Assuming you are familiar with CNNs used … Read more
Source: Algorithm Advancement This article is approximately 4800 words long and is suggested to be read in 8 minutes. This article introduces the functionality of neural networks. In the fields of machine learning and related areas, artificial neural networks are computational models inspired by biological neural networks: each neuron is connected to other neurons, and … Read more
Author: Chen Zhiyan This article is about 2500 words long and is recommended for a 7-minute read. The future of neurons is full of infinite possibilities. Introduction In this era of information explosion, have you ever dreamed of conversing fluently with machines or having AI assist you in crafting stunning articles? All of this relies … Read more
Original Title | Gentle Dive into Math Behind Convolutional Neural Networks
Click the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first Introduction In the field of CV, we need to master the most basic knowledge, which is the various architectures of Convolutional Neural Networks (CNNs). Whether we are dealing with image classification, segmentation, object detection, or NLP, we will use the basic CNN … Read more