Click the “CVer” above to select “Star” or “Pin”. Heavyweight content delivered at the first time. Author: Bi Ji Ji https://zhuanlan.zhihu.com/p/59271905 This article is authorized, and no secondary reproduction is allowed without permission. 1. The Differences Between nn.Module.cuda() and Tensor.cuda() Both the cuda() function can achieve memory migration from CPU to GPU for models and … Read more
Mingmin from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI Do you also have such confusion: “After watching countless introductory tutorials, I still haven’t crossed this threshold…” This time, you might finally be saved! PyTorch Official has launched a training tutorial that will guide you step by step! The course starts with an introduction … Read more
In the field of machine learning, building flexible and easily adjustable models is an essential skill for advanced machine learning engineers when faced with various complex and changing business problems. However, many engineers still have a misconception that mastering just one deep learning framework is enough to succeed. In fact, there is no single framework … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers from enterprises. The Vision of the Community is to promote communication between the academic and industrial circles of natural language processing and machine learning, as … Read more
Machine Heart Release Author: zasdfgbnm This article introduces a practical tool for PyTorch code called TorchSnooper. The author is the creator of TorchSnooper and also one of the PyTorch developers. GitHub project address: https://github.com/zasdfgbnm/TorchSnooper Many of you may encounter such troubles: for example, when running your own PyTorch code, PyTorch prompts you that the data … Read more
Author丨z.defying@Zhihu Source丨https://zhuanlan.zhihu.com/p/76459295 Editor | Jishi Platform For academic sharing only, please contact to delete if there is infringement Table of Contents 1. Specify GPU ID 2. View model output details for each layer 3. Gradient Clipping 4. Expand image dimensions 5. One-hot encoding 6. Prevent out-of-memory during model validation 7. Learning rate decay 8. Freeze … Read more
Hello everyone, I am Azheng. Today, I am excited to introduce a “martial arts master”—PyTorch, a Python library that is like a dynamic neural network superhero! With it, you can navigate the world of neural networks with ease. 1. Getting to Know PyTorch Imagine PyTorch as a magical “workshop” that specializes in creating amazing tools … Read more
Machine learning is rapidly integrating into business operations, becoming a cornerstone of enterprise operations. The emergence of this technology has brought many tangible impacts to various enterprises, such as improving processes, increasing efficiency, and accelerating innovation. The development of machine learning technology is changing rapidly, combined with high-performance computing options and vast amounts of data, … Read more
In an era where the demand for image recognition is experiencing explosive growth, visual content is continuously replacing traditional text content needs, leading to the development of more and more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, … Read more
Author | Xiao Wei Produced by | Intelligent Evolution Theory WeChat Official Account: AImatters [Key Points] 1. Amazon SageMaker provides a well-equipped “central kitchen” for machine learning developers, allowing them to start cooking (training models) without having to build the kitchen themselves, as long as they bring their own ingredients (training data). 2. Through Amazon … Read more