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
The official Chinese version of the PyTorch tutorial is here. PyTorch is one of the most popular deep learning frameworks recently, but its official Chinese tutorial has been long awaited. Recently, a complete official Chinese version of the PyTorch tutorial has been released, allowing readers to better learn and understand the relevant details of PyTorch. … 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
Source: DeepHub IMBA This article is about 2000 words long and is recommended to be read in 5 minutes. This article will introduce some basic tensor operations in PyTorch. PyTorch is a Python-based scientific computing package. Its flexibility allows for easy integration of new data types and algorithms, and the framework is also efficient and … 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
Alibaba Guide: Pedestrian re-identification refers to the task of accurately finding the same person in images from different cameras given a picture of that person from one camera. This technology holds significant research and practical application value, and has recently been widely applied in fields such as traffic and security, playing an important role in … Read more
Introduction Have you ever felt overwhelmed by the complexity of deep learning? Have you heard of the powerful tool known as Convolutional Neural Networks (CNN) but found it confusing? Don’t worry! This article will guide you step by step through the core concepts of CNN and teach you how to easily build and train a … Read more
Follow “Deep Learning Natural Language Processing” to learn and grow together! Bookmark us to get more valuable content first-hand. Author: Yun Bu Jian Link: https://blog.csdn.net/Walk_OnTheRoad/article/details/108048101 Editor: Wang Meng, City University of Macau (Deep Learning Community) This note is based on the key knowledge summary from the book “Introduction to Deep Learning”.. Continuing from the notes … Read more
Researchers from the South China University of Technology have published a paper that describes the mathematical principles of convolutional networks. This paper explains the operations and propagation processes of convolutional networks from a mathematical perspective.This paper is very helpful for understanding the mathematical essence of convolutional networks and assists readers in implementing convolutional networks “by … Read more
Introduction: Deep learning can be applied in various fields, and the shapes of deep neural networks vary according to different application scenarios. The common deep learning models mainly include Fully Connected (FC), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN). Each of these has its own characteristics and plays an important role in different … Read more