A beginner in CV, I write this article to help other novices like me understand how to easily learn and allow experts to reinforce their basics (manual dog head), feel free to leave any questions in the comment section for discussion~ 1. Overview Paper: Densely Connected Convolutional NetworksPaper link: https://arxiv.org/pdf/1608.06993.pdf As the Best Paper at … Read more
Click the “Beginner’s Visual Learning” above to choose to add “Star” or “Pinned“. Important content delivered promptly. From a high-level perspective of our deep learning project, we have prepared the data, and now we are ready to build our model. Prepare Data Build Model Train Model Analyze Model Results When we talk about the model, … Read more
Hello everyone, I am Redstone! In the previous article: Implementing VGGNet (Theoretical Part) We detailed the network structure of VGGNet. Today, we will use PyTorch to reproduce the VGGNet network and apply the VGGNet model to solve a classic Kaggle image recognition competition problem. Let’s get started! 1. Dataset Preparation In the paper, the authors … Read more
Evolution of CNN Architecture: From AlexNet to ResNet Hello everyone, I am Sister Liu. Today we will delve into the evolution of Convolutional Neural Networks (CNN), which is one of the most important technological developments in the field of computer vision. Background Knowledge Before the rise of deep learning, traditional image recognition methods relied on … Read more
The hands-on deep learning live course has completed the first three parts! In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course … Read more
Produced by Big Data Digest Source: eisenjulian Compiled by: Zhou Jiale, Qian Tianpei Using deep learning libraries like TensorFlow and PyTorch to write a neural network is no longer a novelty. But do you know how to elegantly build a neural network using Python and NumPy? Nowadays, there are many deep learning frameworks available, equipped … Read more
Biomimetic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a biomimetic of the human visual attention mechanism, essentially a resource allocation mechanism. The physiological principle is that human visual attention can receive high-resolution information from a specific area in an image while perceiving its surrounding areas at a lower resolution, and … Read more
From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Emotion Computing Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: Attention Mechanism and Its PyTorch Implementation Bionic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a bionic representation of the human visual attention mechanism, … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨mayiwei1998 Source丨GiantPandaCV Reprinted from丨Jishi Platform Abstract Due to the network structures in many papers being typically embedded within code frameworks, the code tends to be quite redundant. The author of this article has organized and reproduced the core code based on Attention networks from recent years. Author Information: … Read more
OpenCV, an image recognition engine, is an open-source computer vision library. The name comes from “Open Source Computer Vision Library,” and it is well-known in the fields of image processing and machine vision. With OpenCV, we can easily read, edit, and analyze images. Supported features include image filtering, edge detection, shape recognition, face detection, and … Read more