殘差網路概述 殘差神經網路（Residual Neural Network，簡稱 ResNet ） 是一種深度學習模型，旨在解決傳統深度神經網路中常見的梯度消失和梯度爆炸問題。這種網路的核心理念是讓每一層學習與輸入之間的殘差，而非直接學習預期的輸出。這樣的設計使得訓練更深層的模型變得更為有效，並且在增加層數時能保持甚至提高準確率。 ResNet 透過 殘差學習解決了深度網路的退化問題，讓我們可以訓

基礎知識回顧 Latent Variable Variations Gaussian Mixture Model Gaussian Mixture Model，即高斯混合模型。生成模型比較主流的三個模型為：隱馬可夫模型HMM、樸素貝葉斯模型NB、高斯混合模型GMM。這裡我們主要為大家介紹GMM。 混合模型是一個可以用來表示在總體分佈中含有N個子分佈的機率模型，它表示了觀測資料在總體中的機率分

Anemoi Anemoi is a collaborative and open-source framework for developing machine learning weather forecasting models. Named after the Greek gods of the winds, the goal of Anemoi is to provide the key

While browsing the WRF repository, I came across an introduction file in version 4.6.1, located at WRF/run/README.physics_files. This file provides a list of external files used by various physical sc

set CUDA_HOME in a conda environment 123456micromamba install -c conda-forge cudatoolkit-devwhich nvccnvcc --versionecho $CUDA_HOMEexport CUDA_HOME=$CONDA_PREFIXecho $CUDA_HOME References How to set

Clear-sky vs. All-sky Approaches in NWP and DA In the field of Numerical Weather Prediction (NWP) and Data Assimilation (DA), the clear-sky and all-sky approaches represent two different methodologies

UXarray Xarray extension for unstructured climate and global weather data analysis and visualization written around the UGRID conventions. Why? UXarray aims to address the geoscience community need fo

Issue 一个可压缩超音速OpeNFOAM算例，想找个fluent大佬来设置一个 粘度： 0 湍流模型：无 二维算例，所有壁面都可以为滑移，或者零梯度边界 进口边界：静压：1e5、温度：400K、速度：1000m/s 没有其他进口；右边是出口 稳态 网格数量：10000个 OpenFOAM计算大约3秒算完。最大压力 810000 。想看一下Fluent的最大压力

html to display figures To create a simple HTML and JavaScript code that displays all images from a specified folder, you can use the following code. This example assumes that your images are stored i