Yuyang from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI The official PyTorch tutorial has been significantly updated: It now offers a tag index, enhances topic categorization, and is more beginner-friendly. No longer do you have to face a whole page of tutorial articles in confusion; you can now precisely click where you want … Read more
Selected from efficientdl.com Author: LORENZ KUHN Translated by: Machine Heart Editor: Chen Ping Master these 17 methods to accelerate your PyTorch deep learning training with minimal effort. Recently, a post on Reddit gained immense popularity. The topic was about how to speed up PyTorch training. The original author is LORENZ KUHN, a master’s student in … Read more
## HUAWEI Pangu Model: From Weather Forecasting to New Drug Development Recently, the tech world has been buzzing with HUAWEI’s Pangu model making frequent appearances, predicting the weather one moment and working on new drug development the next. The Pangu model, as its name suggests, is indeed impressive. It is not a simple model but … Read more
PyTorch Lightning Bolts is an extension library officially launched by PyTorch Lightning, aiming to accelerate model development and training. It provides commonly used deep learning components, pre-trained models, data loaders, and utilities that can significantly simplify the development process, allowing developers to focus on research and optimizing model performance. Whether you are a beginner or … Read more
PyTorch occupies an important position in the field of deep learning. In real life, it is widely used in various areas such as image recognition and natural language processing. For example, in medical image diagnosis, models built with PyTorch can quickly and accurately identify lesions in X-ray and CT images; in intelligent customer service systems, … 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
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