1. The Birth of Vision Life on Earth experienced little change for billions of years after its emergence. They lay “flat” on the ocean floor, unable to move independently or hunt for food. It wasn’t until about 500 million years ago that evolution suddenly exploded, and in just a few tens of millions of years, … Read more
Click on the above“Beginner Learning Vision” to choose to addStar or “Pin” Important content delivered at the first time Introduction One of the most common uses of TensorFlow and Keras is image recognition/classification. Through this article, you will learn how to achieve this using Keras. Definition If you do not understand the basic concepts of … Read more
The few-shot problem in image tasks (where insufficient training data makes it difficult for models to learn effective and generalized features) is widespread due to challenges such as high costs of data labeling and uneven sample distribution. This can lead to models overfitting on few samples and classifiers being biased towards the majority class due … Read more
This article is authorized for reprint by AI new media Quantum Bit (WeChat ID: qbitai), please contact the source for reprint. This article has a total of 2400 words and is recommended to read in 9 minutes. The traditional convolution operation is about to become a thing of the past. Facebook and the National University … Read more
Source: Big Data Talk Author: Huang Wenjian This article is 11200 words long and is recommended to be read in 15 minutes. This article explains some principles of convolutional neural networks (CNN) in deep learning and some classic network architectures. Overview of Convolutional Neural Network Principles Convolutional Neural Networks (CNN) were originally designed to solve … Read more
1. What is a Neural Network? A neural network (Neural Networks, abbreviated as NN), also known as an artificial neural network (ANN) or simulated neural network (SNN), is a subset of machine learning (ML, Machine Learning) and is the core of deep learning (DL, Deep Learning) algorithms. Its name and structure are inspired by the … Read more
1 Algorithm Introduction Convolutional Neural Networks (CNNs) are a class of feedforward neural networks that include convolutional computations and have a deep structure. They have emerged in recent years as an efficient recognition method that has gained widespread attention. The design inspiration for CNNs comes from the hierarchical processing capabilities of the animal visual system, … Read more
Artificial Intelligence, abbreviated as AI. It is an interdisciplinary and emerging field based on Computer Science, integrating various disciplines such as psychology, philosophy, and others. This field studies and develops theories, methods, technologies, and application systems designed to simulate, extend, and enhance human intelligence. The goal is to understand the essence of intelligence and to … Read more
Click the blue “Radar Journal” to follow From October 22 to October 30, 2023, the 3rd Radar Journal Doctoral Forum was successfully held! Doctoral student Zhao Yan from National University of Defense Technology presented an academic report titled “Research on Few-Shot Class-Incremental Recognition Technology for SAR Images” at the SAR Image Interpretation Technology Sub-Forum on … Read more
2018 Issue 34 Authors: Zhang Meng, Qian Rong, Zhu Jingbo, Zhang Liping, Li Runmei, Dong Wei* Affiliation: Anhui Academy of Agricultural Sciences, Institute of Agricultural Economics and Information Introduction: Zhang Meng (1991—), male, from Bozhou, Anhui, research intern, master’s degree, engaged in image recognition research. *Corresponding author, associate researcher, master’s degree, engaged in plant protection … Read more