Today, artificial intelligence (AI) is rapidly developing, increasingly supporting applications that were previously impossible or very difficult to achieve, with neural networks being the cornerstone of deep learning systems. There are many types of neural networks, and this article will only discuss Convolutional Neural Networks (CNN). What is CNN? A neural network is a system … Read more
Click on the above“Beginner Learning Vision” to select and addStarred or “Top” Important content delivered in real-time Author | SANYA4 Translator | VK Source | Analytics Vidhya Introduction Neural networks are everywhere today. Major companies are spending heavily on hardware and talent to ensure they can build the most complex neural networks and deliver the … Read more
Source | OSCHINA Community Author | OneFlow Deep Learning Framework Original link: https://my.oschina.net/oneflow/blog/5559651 So far, one major concern about neural networks is that they are difficult to interpret black boxes. This article primarily aims to theoretically understand why neural networks perform so well in pattern recognition and classification, fundamentally distorting and transforming the original input … Read more
Many tasks involving intelligence, pattern recognition, and object detection are extremely difficult to automate, yet animals and humans seem to perform them effortlessly and naturally. For example, how does a pet dog recognize its owner rather than a complete stranger? How does a child learn to distinguish between a school bus and a public bus? … Read more
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