Click on the above“Beginner Learning Vision” to add it to your favorites or “pin” Important content delivered to you first Author丨Yukyin@Zhihu Source丨https://zhuanlan.zhihu.com/p/279401802 This article is for academic sharing only. If there is any infringement, please contact us to delete the article. Introduction This article introduces the detailed process and code for setting up a deep … Read more
Author | Jeff Hale Translator | Jackey Editor | Jane Produced by | AI Technology Camp (id: rgznai100) 【Introduction】 After the release of TensorFlow 2.0 and PyTorch 1.0, the discussion about which of the two is superior has been ongoing and still lacks a definitive conclusion. In this article, the author analyzes data from multiple … Read more
Deep learning frameworks have played a crucial role in the rapid development in recent years, among which PyTorch and TensorFlow are the two most popular frameworks. They each have unique features and advantages, but there are also some similarities. This article will delve into PyTorch and TensorFlow, providing a detailed introduction from principles, code implementation, … Read more
Source: Deephub Imba This article is approximately 2100 words long and is suggested to be read in 9 minutes. This article will introduce two methods to apply augmentation to datasets in TensorFlow. For image-related tasks, common data augmentation methods include rotating, blurring, or resizing images. This is because the inherent properties of images make data … Read more
Deep Learning Frameworks Author: Horace He Revise: louwill source: https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/ For many practitioners in the deep learning industry, mastering one or more deep learning frameworks is one of the essential skills for daily work. After a period of chaos in the deep learning framework market, a dominant market structure has gradually formed with TensorFlow and … Read more
Deep learning stands out in artificial intelligence, and to learn deep learning, one must first master an effective deep learning framework. This article will review the currently popular deep learning frameworks worldwide, enhancing everyone’s understanding of these frameworks based on their popularity and application scenarios. Without further ado, here is a chart showing the activity … Read more
Source: Machine Learning Algorithms Python is arguably the sharpest weapon for machine learning; conversely, machine learning provides the power to expand influence and recreate brilliance for Python. The two complement each other to such an extent that whenever machine learning is mentioned, people naturally think of Python. Although this perspective may be somewhat narrow, there … Read more
Click the “Beginner’s Guide to Vision” above, and choose to add “Star” or “Top“ Heavy content delivered promptly Why Use Multi-GPU Parallel Training In simple terms, there are two reasons: the first is that the model cannot fit on a single GPU, but can run completely on two or more GPUs (like the early AlexNet). … Read more
Original Title: An Introduction to PyTorch – A Simple yet Powerful Deep Learning Library Author: FAIZAN SHAIKH Translator: He Zhonghua This article is about 3600 words, recommended reading time is 15 minutes.This article will guide you step by step through PyTorch with practical examples. Introduction Every once in a while, a Python library emerges that … Read more
Introduction The original text is translated from: Deep Learning with PyTorch: A 60 Minute Blitz Translated by: Lin Buqing（https://www.zhihu.com/people/lu-guo-92-42-88） Lin Buqing (Lin Yanyan) is my student. This is what I asked her to study when she started learning PyTorch, and she translated this tutorial into Chinese to share with everyone. I hope it helps you … Read more