MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community at home and abroad, covering domestic and foreign NLP master’s and doctoral students, university teachers, and corporate researchers.The vision of the community is to promote communication between the academic and industrial circles of natural language processing and … Read more
Click the above“Beginner Learning Vision” and choose to add “Star” or “Top“ Important content delivered promptly Author丨Linglong@Zhihu (Authorized)Source丨https://zhuanlan.zhihu.com/p/577295030Editor丨Jishi Platform Jishi Guide This article first introduces the automatic differentiation method of computational graphs, then derives the gradients of Kernel and Input in convolution operations, and subsequently implements the convolution operator based on Pytorch and performs correctness … Read more
PyTorch-Forecasting[1] makes time series forecasting using neural networks simple for data scientists and researchers. Why Accurate Forecasting is So Important? Forecasting time series is crucial in many scenarios and is highly relevant to machine learning practitioners. Take demand forecasting as an example, many use cases stem from this. Almost every manufacturer benefits from a better … Read more
Introduction to MONAI 01 What is the MONAI Framework MONAI is an open-source AI framework launched by NVIDIA and King’s College London in 2020. It is a free, community-supported, PyTorch-based framework for deep learning in medical imaging. MONAI enables AI development in medical imaging through industry-specific data processing, high-performance training workflows, and advanced reproducible reference … Read more
What is MNIST The MNIST dataset is a publicly available dataset that serves as the hello world of deep learning, used as a benchmark to evaluate whether a model/library/framework is effective. The MNIST dataset consists of images of handwritten digits (0-9) and their corresponding labels, comprising 60,000 training samples and 10,000 testing samples. Each sample … Read more
What is OpenMMLab? To help more students avoid detours in reproduction and achieve comparisons of different settings in the same environment, The Chinese University of Hong Kong – SenseTime Joint Laboratory (MMLab) launched the OpenMMLab project. It is an open-source codebase for multiple important research areas, striving for better code quality and overall advantages compared … Read more
This article uses a visual presentation to help you deeply understand the structure of the LSTM model. Recently, I have been learning about the application of LSTM in time series prediction, but I encountered a significant problem: after adding time steps to the traditional BP network, its structure becomes difficult to understand.At the same time, … Read more
Source: Deep Learning Enthusiasts This article is about 3300 words, and it is recommended to read for more than 10 minutes. This article uses a visual presentation to help you deeply understand the structure of LSTM models. I have recently been learning about the application of LSTM in time series prediction, but I encountered a … Read more
Click on the above“Beginner Learning Vision”, select to add “Star Mark” or “Top” Heavyweight content delivered at the first time Author: helton_yan@CSDN (Authorized)Source: https://blog.csdn.net/SESESssss/article/details/114340066 Abstract This article reproduces the classic Backbone structures Inception v1, ResNet-50, and FPN, and shares some network building tips based on PyTorch, very detailed and informative! >> Join the Extreme City … Read more
1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can reduce the original image with very large pixel sizes to a smaller pixel image while retaining the main features. This article elaborates on the content from Professor Li Hongyi’s PPT. 1.1 Why CNN for Images ① Why Introduce … Read more