This article mainly summarizes the notes from the CS231n course, adding knowledge from the Deep Learning Book and practical TensorFlow, as well as the Caffe framework. 1. Convolutional Neural Networks 1.1 Convolutional Neural Networks vs. Conventional Neural Networks 1.1.1 Similarities Convolutional networks are a type of neural network specifically designed to process data with a … Read more
Hello everyone, I am Red Stone! The first typical CNN is the LeNet5 network, while the first CNN to shine brightly was AlexNet. In 2012, AlexNet emerged in the globally renowned image recognition competition ILSVRC, directly reducing the error rate by nearly 10 percentage points, which was something all previous machine learning models could not … Read more
【Introduction】The traditional visual recognition methods struggle to directly distinguish between NIs (Natural Images) and CG (Computer Generated images). This article proposes an efficient image recognition method based on Convolutional Neural Networks (CNNs). A large number of experiments were conducted to evaluate the model’s performance. The experimental results show that this method outperforms existing recognition methods … Read more
Report by New Intelligence Source: aiweirdness, gizmodo Translated by: Xiao Qin [New Intelligence Overview]One of the specialties of neural networks is image recognition. Tech giants like Google, Microsoft, IBM, and Facebook all have their own photo tagging algorithms. However, even the top image recognition algorithms can make very strange mistakes, they only see what they … Read more
Selected from Medium Author: Harsh Pokharna Translated by: Machine Heart Contributors: Duxiade This is one of the articles in the author’s series on neural networks introduced on Medium, where he provides a detailed explanation of convolutional neural networks. Convolutional neural networks have wide applications in image recognition, video recognition, recommendation systems, and natural language processing. … Read more
#Accelerating Image Recognition with Numpy: Visual Computing in Action! Today, we will discuss how Numpy can speed up image recognition. Image recognition, in simple terms, is about making computers ‘see’ images and understand them (or at least recognize what they are). Behind this, a lot of mathematical calculations happen at high speed, and Numpy is … Read more
Hello everyone! Today we are going to explore an interesting and practical topic: Implementing a Machine Vision and Image Recognition Engine Using Ruby. Although Ruby is not specifically designed for machine learning or computer vision, it has powerful libraries and tools, such as ruby-vips and opencv-bindings, that can help us quickly get started with image … Read more
A New Era in Image Recognition: How PyTorch Simplifies Development? With the rapid development of deep learning, image recognition has become one of the most important applications in the field of computer vision. From facial recognition to medical image diagnosis, image recognition technology has permeated every aspect of our lives. PyTorch, with its dynamic computation … Read more
Introduction to Image Recognition and Natural Language Processing with PHP Artificial Intelligence (AI) is an important area of current technological development, and PHP, as a popular server-side programming language, can also be involved in some AI applications. This article will introduce how to use PHP to implement simple image recognition and natural language processing (NLP), … Read more
Selected from arXiv Authors:Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao Compiled by Machine Heart Recently, Facebook AI proposed a new convolutional module called IdleBlock and a Hybrid Composition (HC) method using this module. Experiments show that this simple new method not only significantly improves network efficiency but also surpasses most neural architecture … Read more