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
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
Introduction “Plugins” are enhancements that can be easily integrated into existing systems, truly embodying the plug-and-play concept. The “plugins” discussed in this article can enhance the CNN’s ability to handle transformations like translation, rotation, and scale, as well as multi-scale feature extraction, and can be found in many SOTA networks. Pytorch training camp, master coding … Read more
Click the “MLNLP” above to select the “Star” public account Heavyweight content delivered first-hand From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/85995376 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch Recurrent Neural Networks (RNN) are a … Read more
0. Introduction After reading many blog posts and tutorials about RNN online, I felt they were all the same, providing a vague understanding but failing to explain it clearly. RNN is the foundation of many complex models, and even in transformers, you can see the influence of RNN, so it is essential to have a … Read more
Introduction In the fields of Natural Language Processing (NLP), Computer Vision (CV), and other deep learning domains, the Attention mechanism has become a crucial tool. It helps models focus on the most critical parts while processing large amounts of information, significantly improving performance. For many Python learners new to deep learning, understanding and mastering the … Read more
Click the “MLNLP” above and select the “Star” public account Important content, delivered as soon as possible Editor: Yi Zhen https://www.zhihu.com/question/349474623 This article is for academic sharing only; if there is any infringement, it will be deleted. Reports on machine learning algorithms and natural language processing How to Incorporate Attention Mechanism in NLP? Author: Yi … Read more
Click the “MLNLP” above to select the “Star” public account. Heavyweight content delivered to you first. From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: The Attention Mechanism and Its PyTorch Implementation Biomimetic Brain Attention Model -> … Read more
A New Era in Image Recognition: How PyTorch Simplifies Development? With the rapid development of deep learning, image recognition has become one of the most important applications in the field of computer vision. From facial recognition to medical image diagnosis, image recognition technology has permeated every aspect of our lives. PyTorch, with its dynamic computation … Read more
Hello everyone, I am Hao Ge! Today I want to share a very interesting topic with you — image recognition. With the development of artificial intelligence, image recognition technology has penetrated into all aspects of our lives. Whether it’s facial recognition for unlocking phones or object recognition in autonomous driving, this technology is indispensable. As … Read more