Left Hand Workplace, Right Hand AI With Stories, Methods, and Tools January 20, 2025 Article 19 of 2025, Original Article 785 Full text 2682 words, reading time about 8 minutes Since OpenAI launched ChatGPT on November 30, 2022—a technology known as Generative AI (AIGC, Artificial Intelligence Generated Content), the application of AIGC has started to … Read more
Background of Deep Learning: In March of this year, Google’s AlphaGo emerged and defeated South Korean player Lee Sedol, causing a frenzy in the fields of deep learning and machine learning, not only in academia but also among the general public. Artificial intelligence has had its ups and downs, but currently, the hottest topic is … Read more
Meng Lei School of Electrical Engineering, Shaanxi University of Technology /Abstract:/ To timely grasp the changes in power load, accurate forecasting is essential. Therefore, a combined model of CNN and LSTM is explored to predict short-term fluctuations in power load from one day to one week. The CNN model is responsible for feature extraction from … Read more
In the previous article: Implementing the Classic CNN 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 of AlexNet … Read more
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, welcome to the Moon Inn, I am the shopkeeper Kong Character. The content directory for this issue is as follows. If this content helps you, feel free to like and share to support the shopkeeper! If you also recognize the column content of the inn, please click here to become a co-creator of … 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
1. Faster R-CNN Model The R-CNN series networks are the most classic networks in the field of object detection, and their model update ideas are easy to understand. The object detection process is divided into three stages: candidate box generation, feature extraction, classification, and regression. R-CNN is a detection network assembled from many modules, where … Read more
Click belowCard, follow the “CVer” public account AI/CV heavy content, delivered first-hand Author丨happy Reprinted from丨Extreme City Platform Introduction University of Science and Technology of China & MSRA analyzed the characteristics of three major neural network architectures, comparing CNN, Transformer, and MLP by constructing a unified architecture called SPACH, concluding that multi-stage models are always superior … Read more
↓↓↓Click to follow, reply withmaterials, a 10GB surprise Author: zzq Editor: Jishi Platform Source: https://zhuanlan.zhihu.com/p/68411179 For academic sharing only, does not represent the position of this publicaccount. Contact for removal if infringing. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections … Read more