Deep Learning

Stanford CS231N Deep Learning and Computer Vision: Optimization and Stochastic Gradient Descent

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Stanford CS231N Deep Learning and Computer Vision: Optimization and Stochastic Gradient Descent

This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. The Big Data Digest work is prohibited from being reproduced without authorization; specific requirements for reproduction can be found at the end of the article. Registration is open! Machine Learning training … Read more

Stanford CS231N Deep Learning and Computer Vision: Neural Network Training Insights

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Stanford CS231N Deep Learning and Computer Vision: Neural Network Training Insights

This article is a translated version of the Stanford University CS231N course notes, authorized by Professor Andrej Karpathy of Stanford University. The Big Data Digest work is not allowed to be reproduced without authorization; specific requirements for reproduction can be found at the end of this article. Translation: Han Xiaoyang & Long Xincheng Editor’s Note: … Read more

Essential Computer Vision Techniques: Classification, Localization, Detection, and Segmentation

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Essential Computer Vision Techniques: Classification, Localization, Detection, and Segmentation

New Intelligence Column Author: Zhang Hao [New Intelligence Guide] The author of this article comes from the Machine Learning and Data Mining Institute (LAMDA) of the Computer Science Department of Nanjing University. This article systematically summarizes the applications of deep learning in four fundamental tasks in the field of computer vision, including image classification, localization, … Read more

How to Make Computers Experts at Describing Images?

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How to Make Computers Experts at Describing Images?

AliMei’s Guide: ICCV is regarded as one of the top three conferences in the field of computer vision. As one of the highest-level conferences in computer vision, its proceedings represent the latest development directions and levels in the field. Alibaba has multiple papers selected for this year’s conference, and the paper interpreted in this article … Read more

Overview of Eight Major Tasks in Computer Vision

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Overview of Eight Major Tasks in Computer Vision

This article is reprinted from the PaddlePaddle WeChat official account Editor’s Note: Written by a deep learning engineer from Baidu, this article provides a detailed overview of the eight major tasks in the field of computer vision, including: image classification, object detection, image semantic segmentation, scene text recognition, image generation, human keypoint detection, video classification, … Read more

Exploring Computer Vision: Creating the Illusion

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Exploring Computer Vision: Creating the Illusion

Author: Wei Xiucan, PhD student at the Institute of Machine Learning and Data Mining (LAMDA), Nanjing University. He has published academic papers in top international journals and conferences, and his “Must Know Tips in Deep Neural Networks” was invited for publication in the well-known data mining forums KDnuggets and Data Science Central. Selected from “Programmer,” … Read more

Ten Years of Computer Vision: Deep Learning’s Transformation

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Ten Years of Computer Vision: Deep Learning's Transformation

Big Data Digest Production Compiled by: Digest Bacteria In recent years, the development of computer vision (CV) has surged, penetrating all aspects of our lives. To the public, this may seem like an exciting technological innovation; however, that is not entirely true. In fact, computer vision has decades of development history, laying a solid foundation … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

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Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more

Best Practices for Writing Elegant Code in PyTorch

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Best Practices for Writing Elegant Code in PyTorch

Selected from GitHub Compiled by Machine Heart Contributors: Geek.ai, Siyuan PyTorch is one of the best deep learning frameworks, known for its simplicity and elegance, making it ideal for beginners. This article will introduce the best practices and coding styles for PyTorch. Although this is an unofficial PyTorch guide, the article summarizes over a year … Read more