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
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
[Strategy Research Notes] Multi-armed Bandits If we don’t click the blue text, how do we get the story? This public account publishes the latest strategy calculation results (you can check at the end of the article); work diaries that are basically a stream of consciousness; and irregularly shares quantitative strategy research notes (including explanations of … Read more
Click on the “AIWalker” above, select “Star” or “Top” to receive important content promptly. In the past two years, many CNN architectures have emerged, some designed manually and others developed through NAS. However, once the architecture is established, there are always some commonalities among different methods. This article discusses several recent papers from the perspective … Read more
Convolutional Neural Networks (CNN): The Core of Image Processing Image recognition, once considered a “deadlock” in artificial intelligence, has now become a highlight of technology. Convolutional Neural Networks (CNN) serve as the core technology for image processing, shining brightly in many practical applications such as autonomous driving, medical image analysis, and facial recognition. So, how … Read more
Author: Chen Yang Editor: Huang Junjia Introduction Hi everyone, I am the pirate captain from Ocean University of China. Today, I am starting a new series. During this time, I have been helping Xuan Jie run experimental codes and conducted many comparative experiments. I found that the implementation of Keras is very good in terms … Read more
Click the blue text above to follow us! When training a Convolutional Neural Network (CNN), it is common to first select a well-known backbone (such as ResNet-50) and then adjust the architecture to balance performance and efficiency based on requirements. Often, this adjustment concept relies heavily on experience, which needs to be cultivated through extensive … Read more