Deep Learning

EEG Visual Classification Algorithm Based on Improved StackCNN Network

by

EEG Visual Classification Algorithm Based on Improved StackCNN Network and Ensemble Learning Yang Qing1,2,3, Wang Yaqun1,2,3, Wen Dou1,2,3, Wang Ying1,2,3, Wang Xiangyu1,2,3 1. Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University; 2. School of Computer Science, Central China Normal University; 3. National Language Resources Monitoring and Research Network Media Center, Central … Read more

Deep Reconstruction: Image Reconstruction Based on Deep Learning

by
Deep Reconstruction: Image Reconstruction Based on Deep Learning

Deep Reconstruction Professor Zhang Yi, a doctoral supervisor from Sichuan University, once introduced the basic principles and classic methods of CT reconstruction, as well as the principles and current status of CT reconstruction. In this issue, he will take us to learn about his latest IEEE TMI paper on CT reconstruction using deep learning, which … Read more

Practical Summary of CNN Tuning

by
Practical Summary of CNN Tuning

Click on the above “Beginner Learning Vision“, select to add “Star” or “Top“ Essential insights delivered promptly Reprinted from: Author | Charlotte Source | Deep Learning Enthusiasts Editor | Jishi Platform Summary of tuning techniques, all about CNN optimization. Summary of CNN Optimization Systematic evaluation of CNN advances on the ImageNet Using ELU non-linearity without … Read more

Overview of Various Convolution Operations in CNNs

by
Overview of Various Convolution Operations in CNNs

Are you a new friend? Remember to click the blue text to follow me~ The official account has changed its push rules, remember to click “Looking” after reading~ Next time a new article will appear in your subscription list in a timely manner Author | Captain Note | The official account is responsible for pushing … Read more

Facial Emotion Recognition Using CNN

by
Facial Emotion Recognition Using CNN

Click the above “Beginner Learning Visuals“, select Star or Pin“ Heavyweight resources delivered instantly Facial expressions are an important way of communication among humans. In artificial intelligence research, deep learning techniques have become a powerful tool to enhance human-computer interaction. The analysis and assessment of facial expressions and emotions in psychology involves evaluating the predictions … Read more

Understanding Applications of Deep Learning in Computer Vision

by
Understanding Applications of Deep Learning in Computer Vision

Source: New Machine Vision Originally from: Chengmai Technology Abstract: This article mainly introduces the five major technologies in computer vision, which are image classification, object detection, object tracking, semantic segmentation, and instance segmentation. Each technology is given a basic concept and corresponding typical methods, making it simple and easy to read. Computer vision is one … Read more

CNN Overhaul: Performance Boost with Half the Compute Power

by
CNN Overhaul: Performance Boost with Half the Compute Power

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

40 Classic Papers on Convolutional Neural Networks

by
40 Classic Papers on Convolutional Neural Networks

Reprinted from: Jishi Platform As one of the representative algorithms of deep learning, Convolutional Neural Networks (CNN) have achieved the best results in fields such as computer vision. In 1998, Yann LeCun proposed LeNet-5, applying the BP algorithm to train the neural network structure, forming the prototype of contemporary CNNs. In 2012, during the ImageNet … Read more

Overview of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

by
Overview of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

In today’s digital age, Convolutional Neural Networks (CNNs), as a subset of Deep Learning (DL), are widely used in various computer vision tasks such as image classification, object detection, and image segmentation. Many types of CNNs have been designed to meet specific needs and requirements, including one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) CNNs, as … Read more

2D Path Planning Using CNN

by
2D Path Planning Using CNN

Source: Deephub Imba This article contains approximately 3000 words, and is suggested to be read in 5 minutes This article will introduce the application of CNN to solve simple 2D path planning problems. Convolutional Neural Networks (CNN) are popular models for tasks such as image classification, segmentation, and object detection. This article applies CNN to … Read more